Data scientist jobs in Fayetteville, AR

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. We are seeking an Applied Data Scientist who is ready to elevate their career. This role offers an opportunity to leverage your expertise in transforming complex problems into actionable insights by utilizing state-of-the-art machine learning techniques combined with innovative human creativity. You will play a key role in delivering effective and impactful solutions for our clients. As a member of our advanced data science team, you will investigate, develop, implement, and deploy a variety of complex applications and components, collaborating with exceptionally talented colleagues who are not just following the rules but are actively redefining them. Key Expectations for This Role A degree in a relevant field Proficiency in programming languages and tools such as Hadoop, Spark, SQL, and Python Experience with prototyping Knowledge of statistical modeling Familiarity with analytical techniques and technology Skills in quality assurance and testing What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Apprenticely is helping Walton Arts Center hire a Junior Data Engineer in Fayetteville, AR & Rogers, AR. About the Employer: At Walton Arts Center/Walmart AMP, we strive to be the place where a diverse mix of talented people want to come, to stay and do their best work. We pride ourselves on bringing the best Arts and Entertainment to our audiences in Northwest Arkansas, and we know our organization runs on the hard work and dedication of our passionate and creative employees. Walton Arts Center and the Walmart AMP aspire to be welcoming spaces where people can be their authentic selves. We value diversity and inclusivity in every aspect of our operations.What's an Apprenticeship? An apprenticeship is a full time position with a focus on learning! During your first year of employment, you are guaranteed formal training, a mentor, and a pay raise! Employers who have committed to the apprenticeship model for hiring are committing to building you and your career. You're encouraged to apply even if your experience doesn't precisely match the job description. Apprenticeship positions welcome diverse applicants who are looking to grow their career in IT! How does the interview process work? We want to get to know you! Apprenticely will conduct an initial phone interview and knowledge assessment. If your skills and interest match with the employer's needs, we'll share your resume or ask you to apply directly with them. After that, the employers will continue with their recruiting and interview process. If you are a match, an offer will be made for you to get started in your new apprenticeship role! We'll be here to make sure your apprenticeship year goes smoothly and that you are set up for career growth and success! Keep in touch with us on social media Linkedin . Facebook . Instagram ******************** The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: ****************************************

Acosta Group is seeking a highly skilled and adaptable AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance Acosta's internal operations and decision-making capabilities. This role combines deep technical expertise with a strong focus on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio. The ideal candidate will have hands-on experience with cloud platforms (preferably Azure), agentic frameworks (e.g., LangChain), Large Language Models (LLMs), and generative AI techniques including fine-tuning and Retrieval-Augmented Generation (RAG). Proficiency in Python and SQL is essential, along with a solid understanding of vector databases, semantic search, and dimensional data modeling. Experience with Databricks, serverless deployments (e.g., Azure Functions), containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps is highly valued. Beyond technical implementation, the AI Engineer will provide second- and third-level support, mentor business users and citizen developers, and collaborate with cross-functional teams to embed AI into business-critical workflows. The role also supports Acosta's broader AI initiatives by enabling infrastructure readiness, contributing to the AI Center of Excellence, and integrating intelligent automation tools across the enterprise. This is a hybrid role based in our office environment in either Jacksonville, FL, Lewisville, TX or Mississauga/Toronto, ON . Candidates will be expected to work as much as 3 days per week onsite depending on proximity to corporate hubs. RESPONSIBILITIES Essential Functions of this Position + Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives + API Development & Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models. + Vectorization & Embeddings: Expertise in vector databases and semantic search. + Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio + Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365 + Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices + Provide second- and third-level support for AI-related incidents, enhancements, and deployments + Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads + Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption + Mentor and support business users and citizen developers in building and scaling AI-powered solutions + Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement + Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity + Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy + Maintain and enforce change control processes. + Assist in developing and maintaining operational standards and best practices. + Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response. + Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives. + Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise). + Perform other duties as required and/or assigned. QUALIFICATIONS Applicants must be legally authorized to work in the United States and/or Canada without the current or future need for employer-sponsored work authorization . Minimum Education and Work Experience + Bachelor's Degree in Technology Industry is preferred or equivalent work experience + High School Diploma/ GED is required + Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering. + Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred). Knowledge, Skills, and Abilities Requirements + Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation. + Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables). + Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain). + LLMs & Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines. + Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI + Familiarity with MLOps practices and tools for model lifecycle management and monitoring + Understanding of responsible AI principles, including fairness, transparency, and data privacy + Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape + Experience with cloud-based development environments, particularly Microsoft Azure + Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response + Excellent communication skills (both written and oral) combined with strong interpersonal skills. + Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment. Physical Requirements + Seeing + Listening The incumbent(s) in this position should exhibit the following Acosta values: + People Minded - Must show dignity and respect to all people + Integrity - Must exemplify the highest degree of ethical behavior + Results Oriented - Must show passion, pride and commitment to succeed + Trust - Must be honest, sincere and confident + Teamwork - Must build trusting relationships + Innovation - Must progress through a combination of creativity, common sense and vision + Balance - Must maintain an optimistic attitude and keep perspective on what is important in life. ABOUT US Acosta Group is a collective uniting the most trusted retail, marketing, and foodservice agencies-Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services, and Product Connections. Together, we connect consumers with the brands they love through omnichannel selling, merchandising, brand advocacy, and integrated marketing. We recognize our associates are the foundation of our success. That's why we prioritize your growth, development, and well-being to help you reach your full potential. With programs designed to support a fulfilling work-life balance, we offer opportunities that fit your lifestyle and ambitions-whether you're looking for part-time flexibility or full-time career advancement. Ready for a career path that's as unique as you? Discover your path at Acosta Group! Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact ****************. Be sure to include "Applicant Accommodation" in the subject of your email to expedite the request. Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting. The Acosta Group utilizes E-Verify for validating the ability to work in the United States for all job candidates. If you want more information on what this entails and your rights as a job applicant, please use the link provided to access information on our use of E-Verify and your right to work. Employer Resources (e-verify.gov) By applying, you agree to our Privacy Policy and Terms and Conditions of Use. \#DiscoverYourPath Acosta, and its subsidiaries, is an Equal Opportunity Employer Job Category: Administration Position Type: Full time Business Unit: Corporate Salary Range: $85,800.00 - $110,000.00 Company: Acosta Services, Inc Req ID: 16263 Employer Description: ACOSTA\_GRP\_EMP\_DESC

One of our direct client is urgently looking for a Data Engineer TITLE: Data Engineer Duration: 6 to 12+ Months Rate: DOE Required skills - Spark, Cassandra, GCP, Kafka ( experience with data pipelines ) Description: Designs, develops, and implements Hadoop eco-system based applications to support International Search Team, follows approved life cycle methodologies, creates design documents, and performs program coding and testing. Resolves technical issues through debugging, research, and investigation. Experience/Skills Required: 1. Bachelor's degree in Computer Science, Information Technology, or related field and 5 years' experience in computer programming, software development or related. 2. 5+ years of solid hands on experience in coding, designing and supporting of big data solution in Hadoop using Hive, Spark, Presto, Pandas

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager of Data Engineering to join our Digital Nexus technology organization. This is a hybrid work opportunity. Responsibilities: * Lead a team of Azure Data Lake and business intelligence engineers in designing and delivering ADL Pipelines, Notebooks and interactive Power BI dashboards that clearly communicate actionable insights to stakeholders; contribute strategic thought leadership to shape the firm's business intelligence vision and standards * Design and maintain scalable data pipelines using Azure Data Factory and Databricks to ingest, transform, and deliver data across medallion architecture layers; develop production-grade ETL/ELT solutions using PySpark and SQL to produce analytics-ready Delta Lake datasets aligned with enterprise standards * Apply critical thinking and creativity to design innovative, non-standard BI solutions that address complex and evolving business challenges; design, build, and optimize data models to support analytics, ensuring accuracy, reliability, and efficiency * Stay ahead of emerging technologies including Generative AI and AI agents to identify novel opportunities that improve analytics, automation, and decision-making across the enterprise * Manage and provide technical expertise and strategic guidance to counselees (direct reports), department peers, and cross-functional team members; set goals, participate in strategic initiatives for the team, and foster the development of high-performance teams * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum seven years of recent experience designing and building ADL Pipelines and Data bricks notebooks and interactive dashboards using modern business intelligence tools (preferably Power BI); minimum two years of recent experience designing scalable data pipelines using Azure Data Factory and Azure Databricks to support ingestion, transformation, and delivery of data across medallion architecture layers * Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required * Demonstrated analytical and problem-solving abilities, with a creative and methodical approach to addressing complex challenges * Advanced knowledge of SQL, DAX, and data modeling concepts; proven track record in defining, managing, and delivering BI projects; ability to participate in the development of resource plans and influence organizational priorities * Excellent written and verbal communication skills, including the ability to effectively present proposals and vision to executive leadership * Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: ********************************************************************** KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

What you'll do... About the Role Walmart's Next Gen Commerce team is pioneering the future of retail through immersive, AI-driven experiences that help customers explore, visualize, and engage with products in ways that are intuitive and inspiring. As a Distinguished Data Scientist focused on Generative Media and Asset Creation, you will play a core technical role in developing AI systems that generate rich visual content-including product imagery, themed media, videos, 3D assets, and motion graphics. Your mission is to build scalable, real-time generation pipelines that power customer-facing experiences such as virtual try-on, AR showrooms, and shoppable media. You'll collaborate closely with product, engineering, design, and platform teams to ensure generation models are accurate, realistic, performant, and cost-effective. This is a high-impact IC role for someone who thrives at the intersection of generative AI, deep learning and production-ready implementation. Responsibilities * Design and develop cutting-edge generative models across modalities including imagery, video, 3D, and stylized content * Build scalable asset generation pipelines using diffusion models, transformer-based vision-language models, or 3D generation frameworks * Prototype hybrid systems that integrate in-house models with open-source and third-party APIs to balance quality, speed, and operational cost * Partner with media understanding teams to create feedback loops that improve generation realism, relevance, and content alignment * Contribute to long-term model architecture decisions and training strategies for foundational and task-specific generation models * Define and implement evaluation metrics for generative quality, perceptual realism, model efficiency, and end-user usability * Collaborate with infrastructure and platform teams to ensure generated assets meet latency, size, and scalability requirements for customer applications * Stay current with the latest advances in generative AI and translate them into practical product innovations Minimum Qualifications * 7+ years of experience in applied machine learning, computer vision, or generative AI, with a focus on media or content generation * Hands-on experience developing and deploying generative models (e.g., diffusion models, GANs, autoregressive vision-language systems) * Strong coding skills and familiarity with scalable ML pipelines and deployment frameworks * Track record of delivering media or 3D generation capabilities into real-time or production systems * Experience with model performance evaluation, perceptual metrics, and optimization for speed and quality * Excellent collaboration skills, with the ability to work cross-functionally across research, engineering, product, and design teams Preferred Qualifications * M.S. or Ph.D. in Computer Science, Machine Learning, or a related technical field * Experience with AR/VR media generation, virtual try-on, or real-time rendering * Familiarity with 3D mesh generation, keypoint-based conditioning, and texture synthesis * Background in human-in-the-loop evaluation or responsible generative AI * Contributions to open-source projects, research publications, or patents in the field of generative modeling Why Join Us? You'll work at the frontier of generative AI, helping to shape the visual intelligence and storytelling layer of Walmart's digital commerce platform. Your models will power experiences that redefine how millions of customers explore and shop-from static product views to immersive, personalized, media-rich interactions. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart's culture is a competitive advantage, and it's fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************** Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Sunnyvale, California US-11656:The annual salary range for this position is $169,000.00-$338,000.00 Bentonville, Arkansas US-10735:The annual salary range for this position is $130,000.00-$260,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: * Stock Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

We're looking for a Principal, Data Scientist-a strategic, high-impact individual contributor with enterprise reach. This role doesn't manage people, but it leads through influence-helping senior leaders act on insights before trends emerge. This is more than just a technical role; this role will be a catalyst for change through influencing across HR, Operations, and Finance by turning predictive insights into actionable stories to drive clarity, evidence and foresight. **What you'll do...** + **D** **etect Signals Before They Surface:** Identify early workforce risks and opportunities by translating ambiguous business challenges into structured predictive models and applying advanced analytics to forecast trends at scale. + **Turn Insights Into Actionable Intelligence:** Convert data signals into strategic guidance by crafting executive-ready narratives, visualizing insights, and anticipating leadership needs before they're voiced. + **Shape Scalable Modeling Infrastructure** : Collaborate with partners to develop and integrate predictive models into enterprise systems, ensuring they are explainable, scalable, and governed by clear standards for quality and documentation. + **Steer Outcomes Through Insight and Trust:** Act as a strategic thought partner to senior leaders by representing data science in high-level planning and building trust through rigorous analysis and compelling storytelling. **What you'll bring...** **Strategic Data Science Expertise** + 7+ years applying data science, statistics, or machine learning-ideally in large-scale enterprise or workforce settings. + Proven ability to anticipate future risks, opportunities, and behavior shifts-not just explain historical trends. + Skilled at framing and solving open-ended, ambiguous problems. **Technical Fluency** + Advanced in Python, SQL, and cloud platforms like GCP, AWS, or Azure. + Experienced in building or guiding scalable data pipelines and embedding models in self-service tools. + Knowledgeable in model governance, documentation, and version control. **Enterprise Influence & Storytelling** + Trusted advisor to senior leaders, influencing decisions through clear, compelling narratives. + Adept at simplifying complex analysis for non-technical audiences. + Proven success driving adoption of predictive insights without formal authority. **About People Strategy & Operations - People Data Enablement Team** The People Data Enablement team sits at the crossroads of people, operations, and tech-turning workforce data into strategy. We build predictive tools, AI-powered dashboards, and decision support that help Walmart hire, grow, and retain talent at scale. Our mission? Spot the signal before the noise-and give leaders the edge to act fast. This is your chance to help shape a brand-new data science capability with enterprise impact. **Equal Opportunity Employer** Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting, and valuing Belonging- unique styles, experiences, identities, ideas and opinions while being welcoming of all people. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************* . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart (*********************** . The annual salary range for this position is $110,000.00-$220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock **Minimum Qualifications...** _Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications._ Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field **Preferred Qualifications...** _Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications._ Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. **Primary Location...** 702 Sw 8Th St, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment. Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

What you'll do... Data Source Identification Requires knowledge of Functional business domain and scenarios Categories of data and where it is held Business data requirements Database technologies and distributed datastores eg SQL NoSQL Data Quality Existing business systems and processes including the key drivers and measures of success To support the understanding of the priority order of requirements and service level agreements Help identify the most suitable source for data that is fit for purpose Perform initial data quality checks on extracted data Data Strategy Requires knowledge of understanding of business value and relevance of data and data enabled insights decisions Appropriate application and understanding of data ecosystem including Data Management Data Quality Standards and Data Governance Accessibility Storage and Scalability etc Understanding of the methods and applications that unlock the monetary value of data assets To understand articulate and apply principles of the defined strategy to routine business problems that involve a single function Model Assessment and Validation Requires knowledge of model fit testing tuning and validation techniques eg Chi square ROC curve root mean square error etc Impact of variables and features on model performance To Identify the model evaluation metrics Apply best practice techniques for model testing and tuning to assess accuracy fit validity and robustness for multistage models and model ensembles Data Visualization Requires knowledge of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced visualization techniques tools Multiple story plots and structures OABCDE Communication influencing technique Emotional intelligence To generate appropriate graphical representations of data and model outcomes Understand customer requirements to design appropriate data representation for multiple data sets Work with User Experience designers and User Interface engineers as required to build front end applications Present to and influence the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding Customize communication style based on stakeholder under guidance and leverages rational arguments Guide and mentor junior associates on story types structures and techniques based on context Understanding Business Context Requires knowledge of Industry and environmental factors Common business vernacular Business practices across two or more domains such as product finance marketing sales technology business systems and human resources and indepth knowledge of related practices Directly relevant business metrics and business areas To Provide recommendations to business stakeholders to solve complex business issues Develop business cases for projects with a projected return on investment or cost savings Translate business requirements into projects activities and tasks and aligns to overall business strategy and develops domain specific artifact Serve as an interpreter and conduit to connect business needs with tangible solutions and results Identify and recommend relevant business insights pertaining to their area of work Tech Problem Formulation Requires knowledge of Analyticsbig data analytics automation techniques and methods Business understanding Precedence and use cases Business requirements and insights To translate coown business problems within ones discipline to data related or mathematical solutions Identify appropriate methodstools to be leveraged to provide a solution for the problem Share use cases and gives examples to demonstrate how the method would solve the business problem Analytical Modeling Requires knowledge of feature relevance and selection Exploratory data analysis methods and techniques Advanced statistical methods and bestpractice advanced modelling techniques eg graphical models Bayesian inference basic level of NLP Vision neural networks SVM Random Forest etc Multivariate calculus Statistical models behind standard ML models Advanced excel techniques and Programming languages like RPython Basic classical optimization techniques eg NewtonRapson methods Gradient descent Numerical methods of optimization eg Linear Programming Integer Programming Quadratic Programming etc To select appropriate modeling techniques for complex problems with large scale multiple structured and unstructured data sets Select and develop variables and features iteratively based on model responses in collaboration with the business Conducts exploratory data analysis activities for example basic statistical analysis hypothesis testing statistical inferences on available data Identify dimensions and designs of experiments and create test and learn frameworks Interpret data to identify trends to go across future data sets Create continuous online model learning along with iterative model enhancements Develop newer techniques for example advanced machine learning algorithms auto ML by leveraging the latest trends in machine learning artificial intelligence to train algorithms to apply models to new data sets Guide the team on feature engineering experimentation and advanced modeling techniques to be used for complex problems with unstructured and multiple data sets for example streaming data raw text data Model Deployment and Scaling Requires knowledge of impact of variables and features on model performance understanding of servers model formats to store models To deploy models to production Continuously log and track model behavior once it is deployed against the defined metrics Identify model parameters which may need modifications depending on scale of deployment Code Development and Testing Requires knowledge of coding languages like SQL Java C Python and others Testing methods such as static dynamic software composition analysis manual penetration testing and others Business domain understanding To write code to develop the required solution and application features by determining the appropriate programming language and leveraging business technical and data requirements Create test cases to review and validate the proposed solution design Create proofs of concept Test the code using the appropriate testing approach Deploy software to production servers Contribute code documentation maintain playbooks and provide timely progress updates Drives the execution of multiple business plans and projects by identifying customer and operational needs developing and communicating business plans and priorities removing barriers and obstacles that impact performance providing resources identifying performance standards measuring progress and adjusting performance accordingly developing contingency plans and demonstrating adaptability and supporting continuous learning Provides supervision and development opportunities for associates by selecting and training mentoring assigning duties building a teambased work environment establishing performance expectations and conducting regular performance evaluations providing recognition and rewards coaching for success and improvement and promoting a belonging mindset in the workplace Promotes and supports company policies procedures mission values and standards of ethics and integrity by training and providing direction to others in their use and application ensuring compliance with them and utilizing and supporting the Open Door Policy Ensures business needs are being met by evaluating the ongoing effectiveness of current plans programs and initiatives consulting with business partners managers coworkers or other key stakeholders soliciting evaluating and applying suggestions for improving efficiency and costeffectiveness and participating in and supporting community outreach events Respect the Individual: Demonstrates and encourages respect for all builds a highperforming team seeks and embraces differences in people cultures ideas and experiences creates a workplace where all associates feel seen supported and connected through culture of belonging so associates thrive and perform drives a positive associate and customermember experience for all identifies attracts and retains the best team members Respect the Individual: Creates a discipline and focus around developing talent through feedback coaching mentoring and developmental opportunities promotes an environment allowing everyone to bring their best selves to work empowers associates and partners to act in the best interest of the customermember and company and regularly recognizes others contributions and accomplishments Respect the Individual: Builds strong and trusting relationships with team members and business partners works collaboratively and crossfunctionally to achieve objectives and communicates and listens attentively with energy and positivity to motivate influence and inspire commitment and action Act with Integrity Maintains and promotes the highest standards of integrity ethics and compliance models the Walmart values and leads by example to foster our culture supports Walmarts goal of becoming a regenerative company by making a positive impact for associates customers and the world around us eg creating a sense of belonging eliminating waste participating in local giving Act with Integrity Follows the law our code of conduct and company policies and sets expectations for others to do the same promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of nonretaliation listens to concerns raised by associates takes action and encourages others to do the same holds self and others accountable for achieving results in a way that is consistent with our values Act with Integrity Acts as an altruistic servant leader and is consistently humble selfaware honest and transparent Serve our Customers and Members Delivers expected business results while putting the customermember first and consistently applying an omnimerchant mindset and acts with an Every Day LowCost mindset to drive value and Every Day Low Prices for customersmembers Serve our Customers and Members Adopts a holistic perspective that considers data analytics customermember insights and different parts of the business when making plans and shaping the teams strategy Strive for Excellence Consistently raises the bar and seeks to improve demonstrates curiosity and a growth mindset seeks feedback asks thoughtful questions fosters an environment that supports learning innovation and learning from mistakes and intelligent risktaking and exhibits resilience in the face of setbacks Strive for Excellence Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working At Sam's Club, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet! * Health benefits include medical, vision and dental coverage * Financial benefits include 401(k), stock purchase and company-paid life insurance * Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************** * Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location). ㅤ ㅤ ㅤ ㅤ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2101 Se Simple Savings Dr, Bentonville, AR 72712-4304, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **AI & Data -** **Data Modeler - Senior** We are seeking a highly skilled Senior Consultant Data Modeler with expertise in delivering data models that meet business requirements. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **The opportunity** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that technical requirements align with business needs. Your responsibilities will include creating scalable data models and solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Modeler, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Lead the design and development of **conceptual, logical, and physical data models** for the Enterprise Data Warehouse (EDW), adhering to **Kimball dimensional methodology (dimensional modeling approach), a core skill for this role** . + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 7+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Proven ability to navigate complex issues and make informed decisions + Experience in supervising and guiding junior team members + Demonstrated participation in sales opportunities and RFP responses + Cloud knowledge and/or certification. Preferably Azure DP-203 + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + Spanish speaking + Italian speaking **What we look for** We seek top performers with a keen eye for detail, a passion for data-driven solutions, and the ability to thrive in a collaborative environment. Your proactive approach to problem-solving, combined with your technical expertise, will set you apart as a candidate. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

About Walmart Business Walmart Business is a rapidly growing omnichannel platform designed to serve businesses, nonprofits, and government agencies at scale. By combining Walmart's unmatched assets with purpose-built B2B experiences, we are redefining how organizations purchase and operate. This is a unique opportunity to shape foundational decision-making in a high-growth business while leveraging the scale and complexity of the world's largest omnichannel retailer. What you'll do... As a Principal Data Scientist, you will serve as a technical authority in causal inference, experimentation, and decision science, influencing strategy across Product, Business, and Executive leadership. * Define and lead the causal measurement strategy for major product, pricing, and operational initiatives, ensuring decisions are grounded in robust causal evidence rather than correlation. * Design and evaluate large-scale experimentation frameworks, including A/B testing, sequential experimentation, and quasi-experimental designs, to measure true business impact. * Develop and apply advanced causal and statistical models, such as: * Treatment effect and uplift models * Difference-in-differences and synthetic controls * Propensity score and matching methods * Instrumental variables and observational causal techniques * Translate complex causal findings into executive-ready insights, clearly communicating assumptions, limitations, uncertainty, and business implications. * Partner directly with senior business and product leaders to frame ambiguous, high-stakes problems, define learning agendas, and determine the right analytical or experimental approach. * Connect leading indicators to lagging outcomes, demonstrating how specific product and operational levers causally impact revenue, conversion, retention, and customer experience. * Influence roadmap and investment decisions by identifying high-ROI opportunities and quantifying trade-offs through experimentation and modeling. * Set technical standards and best practices for experimentation and causal analysis, mentoring senior data scientists and raising the overall analytical maturity of the organization. What You'll Bring * Deep expertise in causal inference and experimentation, with a strong track record of applying these methods to real-world business decisions. * Advanced modeling and statistical skills, including causal modeling, experimental design, and large-scale observational analysis. * Strong technical proficiency in SQL, Python, and/or R, with experience working on complex, high-volume data systems. * Strategic and systems thinking, with the ability to connect business objectives, product strategy, and analytical methods end-to-end. * Executive influence without authority, able to shape decisions through rigor, clarity, and credibility rather than formal management responsibility. * 10+ years of experience in data science, applied research, or advanced analytics roles, operating at principal or staff-level scope. * Retail, eCommerce, or marketplace experience is a plus, including pricing, supply chain, merchandising, or digital platforms. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************** Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : * Stock ㅤ ㅤ ㅤ ㅤ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 702 Sw 8Th St, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Modeling - Manager** **The opportunit** **y** We are looking for a dynamic and experienced Manager of Data Modeling to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills **Your Key Responsibilities** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. + Understand and analyze business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. + Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology (dimensional modeling approach, a core skill for this role. + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. + Having cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 10+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Strong business acumen with the ability to manage complex client relationships + Proven experience in managing and leading teams within a dynamic environment + Excellent communication and interpersonal skills + Cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. + Experience in leading and influencing teams, with a focus on mentorship and professional development. + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + The ability to foster an inclusive environment that values diverse perspectives and empowers team members. + Spanish speaking + Italian speaking **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

What you'll do... Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations. About Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll do: * Lead high-caliber team to build large-scale Genai systems * Develop data science systems and tools for retail; e-commerce applications: * Leverage LLMS to summarize and build large scale applications * Establish cross-functional relationships to maintain win-win situation for the corporation * Collaborate with various product stake holders and business owners to formulate and productionize a solution. What you'll bring: Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics related field. Must have qualifications... * Strong solution architecture mindset, with the ability to apply AI/ML technologies to solve complex business problems. * Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models. * Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment. * Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools. * Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc., Great to have... * Experience with Big Data processing and feature engineering using Spark * Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure * Hands on experience of designing and training large DL models on GPU Behavior qualifications: * Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures * Ability to clearly define problems, models and constraints from informal and flexible business requirements * Tech leadership with teamwork spirit, quick adaptation to new environment * Form collaborative working environment. * Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines. * Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability. * Highly motivated to demystify emerging technologies and drive adoption across teams and stakeholders. About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart's culture is a competitive advantage, and it's fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************** Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Sunnyvale, California US-04396:The annual salary range for this position is $143,000.00-$286,000.00 BENTONVILLE, Arkansas US-10574:The annual salary range for this position is $110,000.00-$220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: * Stock Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 5300 SW REGIONAL AIRPORT BLVD, BENTONVILLE, AR 72713-9428, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

We are seeking a highly skilled and innovative Staff, Data Scientist to join the Walmart Care Team. The ideal candidate will have a strong background in data science, machine learning, and AI, with a proven track record of leveraging advanced analytical techniques to drive business results. This role is critical in transforming data into actionable insights, developing predictive models, and enhancing decision-making processes across the organization. What you'll do... Job Description Key Responsibilities: * Advanced Analytical Techniques: Utilize advanced analytical techniques, including machine learning and AI, to predict trends and behavior patterns, deliver impactful data insights that drive business results. * Model Development: Lead the development and implementation of AI and machine learning models to solve complex business problems, improve operational efficiency, and enhance decision-making processes. * Emerging Technologies: Leverage emerging technologies to optimize data analytics processes, improve data reliability, and enhance the precision of predictive models (such as customer contact volume forecasting) , directly affecting business outcomes. * Data-Driven Transformation: Drive the transformation of the organization into a data-driven entity by integrating advanced analytics into business processes and strategies, thereby enhancing business performance and growth. * Cross-Functional Collaboration: Collaborate with cross-functional teams to integrate advanced analytical techniques into everyday operations, promoting a culture of innovation and continuous improvement that directly impacts business results. * Innovation and Advancement: Stay abreast of the latest advancements in AI and machine learning, ensuring the organization remains at the forefront of data science innovation, and leveraging these advancements for business success. * Strategic Decision-Making: Play a key role in strategic business decisions by providing data-led insights, contributing to the company's overall direction and growth. * Impact Measurement: Develop and implement mechanisms for measuring the impact and effectiveness of data science initiatives on business operations and outcomes. Preferred Qualifications: * Education: Advanced degree in Data Science, Computer Science, Mathematics, or a related field with specialization in AI or machine learning. * Experience: Proven experience in leveraging advanced analytical techniques in a data science role. * Skills: * Proficient in modern AI tools and platforms, with a strong understanding of machine learning algorithms and statistical modeling. * Experience in driving a data-driven culture within an organization, with the ability to translate complex data insights into actionable business strategies. * Demonstrated ability to stay up-to-date with the latest advancements in AI, machine learning, and data science. * Strong technical skills with the ability to lead transformational change within an organization, leveraging advanced technology. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************** Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. The annual salary range for this position is $110,000.00-$220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: * Stock Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 702 Sw 8Th St, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

At Walmart, we pride ourselves for knowing our customers and connecting with them better than any other company. We interact with our customers across more categories than any company in the world. The Customer Decision Science team which is a part of the Customer Insights & Strategy team in the Marketing org at Walmart analyzes every store trip, web/ app visit, service interaction, search, click, purchase, survey responses etc. to help deliver the easiest shopping experience both digitally and physically. We are a team comprised of decision science practitioners that work together to uncover the why behind the customer behavior while measuring the outcomes from a customer and competitive lens. As a Staff Data Scientist in the team, you will have the unique opportunity to leverage the power of technology, big data and analytics to improve the lives of the 100M+ households that shop at Walmart every year. You will be responsible for identifying and quantifying accelerators and decelerators of customer engagement leveraging causal inference techniques and supporting activation and operationalization of prioritized High Value Actions (HVAs). Our ideal candidate is a sharp, thoughtful, and collaborative problem solver and people leader, who enjoys identifying key business levers and challenges, and then building data science and analytics frameworks to enable strategic decision making. You will have direct visibility with exec leadership team and will drive initiatives to support the rapid growth of our online and omni-channel customer base value. You will work closely with your peers and cross functional partners to help inform and craft exec narratives, provide business insights and analysis with a robust foundation. You also have a strong combination of business acumen and data science background, as well as an intense hunger to make a significant business impact by owning and driving business outcomes. This is a full-time position and will report to the Senior Director of Customer Decision Science. What we'd like to see * Well balanced skills - People have trouble pinning you down. Both business and technical/ data teams claim you as their own. You are equal parts technical and functional. You are equally comfortable and effective in persuading both technical and business audience * Great communicator - You're capable of telling the story behind the data and resulting insights to exec audience and you are a pro at building slide decks that can simplify any complex story. You can customize your communication style based on stakeholders. You can guide and coach junior associates on story types, structures, and techniques based on context. * Business acumen - You are able to anticipate the needs of business stakeholders in the relevant business context * Data Science & Analytics expertise - You excel at designing and building new and impactful KPIs and metrics to measure customer and competitive dynamics. You are equally strong at getting into the weeds and making sure that the data needed to support these metrics is consistent and available. You are very comfortable rolling up your sleeves when needed and writing complex SQL queries for quick prototyping and helping junior associates debug their work and raise the bar. You are adept at leveraging data science frameworks and algorithms and frameworks in a practical business setting and have mastery over the fundamentals of supervised/ unsupervised learning and causal inference * Data Visualization - You are a pro at leveraging visualization to build compelling stories based on context to integrate multiple pieces of information into cohesive insights. * People leadership - You have experience in mentoring and coaching junior data science talent and can influence without direct authority. What you'll do... Responsibilities * Partner with C-suite, corporate strategy, marketing, merchandising, research, product, finance and engineering organizations to drive outcomes * Have a very strong product mindset and proactively ideate and design relevant data products * Ownership of team level sql views, feature store pipelines for at least 2 business domain areas * Drive the development of quantitative analysis and predictive models to support decision making * Design and execute experiments to achieve business objectives and drive optimization * Partner with Data and tech Engineers to define data and tracking requirements * Translate data insights into actions and recommendations and self-serve products * Produce visuals (charts, infographics) and presentations to clearly and effectively communicate findings to stakeholders and leadership * Analyze and maintain customer KPIs and metrics to identify cause-effect relationships between business actions and behavioral & attitudinal customer outcomes * Work closely with the Research, Data and Business Intelligence teams Minimum Qualification * 4+ years of experience with data/ decision science * Proven experience in leading data-driven projects from definition to execution, driving and influencing product and marketing roadmaps * Direct experience working with very large data-sets in bigquery or similar platforms including building in-database ML models * Experience with at least one scripting language (R, Python). Should be able to independently build a repository of functions to continually automate data science workflows preferably using dbplyr interface and Bigquery as the backend * Deep expertise in writing and debugging complex SQL queries * Presentation experience and a proven track record of using insights to influence executives and colleagues Preferred Qualification * Degree in Computer Science, statistics, economics or a related quantitative field, MBA or management consulting experience * Retail/ e-commerce domain experience At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************** Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Hoboken, New Jersey US-10279:The annual salary range for this position is $132,000.00-$264,000.00 San Bruno, California US-08848:The annual salary range for this position is $143,000.00-$286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: * Stock Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 221 River St, Hoboken, NJ 07030, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What you'll do... About the Role We are seeking a seasoned Principal Data Scientist with deep expertise in building and scaling ML products in production. This role is ideal for someone with a strong background in recommender systems, GenAI, and LLMs, and who thrives in a fast-paced, technically rigorous environment. Key Qualifications * 12+ years in applied data science/ML (or 8+ with a PhD) * 5+ years leading end-to-end ML products in production * Proven success in recommender systems, personalization at scale, or search-especially using LLMs and embeddings * Experience with GenAI systems, including RAG and agentic LLM workflows * Fine-tuning LLMs (LoRA, DPO), reducing hallucinations, and implementing safety guardrails * Designed LLM evaluation pipelines for factuality, consistency, and relevance * Optimizing LLM inference: prompt caching, quantization, retrieval filtering * ML modeling for classification tasks (e.g., boosted trees) * Strong experimentation background: A/B testing, multi-armed bandits, causal inference * Deep learning expertise with PyTorch, TensorFlow, or Keras * Data engineering collaboration: SQL/Spark pipelines, feature stores, batch serving * MLOps: deployment, monitoring, drift detection, CI/CD * Domain fluency in retail/food signals, seasonality, substitutions, and consumer engagement * Technical leadership: mentors team, sets roadmap, elevates code standards * Tooling: Python, SQL, PyTorch/TensorFlow, Spark, Airflow, GCP/Azure, Docker/Kubernetes, Git About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart's culture is a competitive advantage, and it's fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates. Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions - while being inclusive of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see ******************************** Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Sunnyvale, California US-04396: The annual salary range for this position is $143,000.00 - $286,000.00 Bentonville, Arkansas US-10735: The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : * Stock ㅤ ㅤ ㅤ ㅤ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 809 11th Ave, Sunnyvale, CA 94089-4731, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.