Data scientist jobs in Arkansas

About the job The Data Scientist / Database Architect will serve as a critical architect and analytical engine for our growing insights team, supporting a suite of data-driven initiatives across the organization. This role is not just about building databases - it's about making data actionable. The ideal candidate brings experience from a corporate retail or e-commerce environment and can seamlessly integrate diverse datasets to drive strategic decisions. Located in the Bentonville, AR area, this position is on-site and central to how we structure, analyze, and deliver intelligence to both internal and external stakeholders. Heavy AI and machine learning experience is strongly preferred, and advanced analytical instincts are essential. Key Responsibilities: Data Architecture & Integration Design and maintain a scalable infrastructure that unifies multiple data sources, including POS, syndicated, loyalty, operational, and third-party data, into a coherent and high-performance environment. Build and maintain robust ETL pipelines for ingesting, cleansing, and transforming structured and unstructured data. Ensure the infrastructure supports both daily reporting and deep-dive exploratory analytics. Data Analysis & Modeling Serve as a lead analyst across the organization, translating complex data into actionable insights. Conduct advanced analytics to support strategy, product development, and market research. Develop models and forecasting tools using Python, R, SQL, or other statistical languages. Contribute to AI/ML-based projects for predictive analytics, automation, or consumer segmentation. Dashboarding & Visualization Support Enable data storytelling through the creation and maintenance of dashboards and visualizations. Collaborate with researchers and analysts to ensure clean and consistent data feeds into Forsta, Power BI, and Tableau environments. Help define and enforce data taxonomy and governance to keep systems clean and scalable. Cross-Team Collaboration Act as a key technical liaison between insights, research, design, and executive teams. Troubleshoot data issues and provide technical support to non-technical stakeholders. Contribute to broader organizational initiatives that depend on data structure and access. Qualifications: Minimum 7 years of experience in a retail, e-commerce, or digital product environment working with enterprise-level datasets. Expertise in SQL, cloud-based platforms (AWS, GCP, or Azure), and strong knowledge of data warehousing best practices. Proficiency in Python and/or R for advanced statistical analysis and machine learning. Deep familiarity with dashboarding tools like Power BI, Tableau, and data visualization platforms like Forsta. Strong understanding of data normalization, security, and governance. Experience integrating and analyzing data from disparate systems (POS, loyalty, inventory, etc.). Demonstrated success in producing real-time and strategic insights from complex datasets. Preferred Education: Degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field. Master's degree preferred, but equivalent real-world experience will be considered. Preferred Skills: Experience applying AI/ML to consumer modeling, trend forecasting, or data automation. Ability to act as both architect and analyst - building systems and producing insights. Clear communicator who can explain complex ideas to non-technical teams. Benefits: · Competitive salary · Health, dental, and vision insurance · Paid time off and retirement plan options · Opportunities for professional development and continuing education

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $160.1K - $188.1K - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Role:** As a Marketing Data Scientist at Confluent, you will be a key player in analyzing lead funnel efficiency, marketing measurement and pipeline management. In this role, you will collaborate with Marketing, Growth, Sales & Finance stakeholders. Your focus will include data exploration, conducting in-depth analyses, and generating actionable insights to optimize and sustain healthy marketing funnel. **What You Will Do:** + Identify high-impact opportunities through data exploration, and generate strategic insights by collaborating with cross-functional teams, contributing to improvement amongst top of the funnel conversion metrics. + Define marketing metrics to measure success, develop scalable reporting to monitor the health of our pipeline, and analyze drivers for company KPIs + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining marketing campaign and pipeline strategy + Design and execute A/B tests to measure the impact of product features and launches, providing insights that guide iterative improvements. + Provide deep understanding of customer journey phases, from awareness to conversion with expertise in analyzing metrics like ROI, CLTV etc. to identify opportunities for growth and optimization + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making **What You Will Bring:** + 3+ years of experience in Data Science supporting a marketing function, preferably at a B2B SaaS company + Strong proficiency in data manipulation, especially using SQL (3+ years of experience) and a scripting language (Python/R) + Proficiency in data visualization and building dashboards with tools such as Tableau + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Experience with marketing attribution models across a variety of channels (SEO, Paid Search, Social, etc.) and A/B testing frameworks + Exceptional problem solving skills and detail-oriented mindset + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Familiarity with lead funnel, marketing attribution models, and marketing measurement using causal inference and other advanced analytical methods. + Understanding of the B2B Marketing Stack, Salesforce objects **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

Sam's Club is transforming AI from a curiosity into a task-reduction engine that saves millions of dollars, unlocks new efficiencies, and reimagines member experiences. As a Data Scientist III, you will architect and operationalize end-to-end Generative AI systems-from intelligent headless agents to real-time conversational experiences-impacting every corner of our business. Your mission is simple but ambitious: turn cutting-edge AI frameworks into scalable products used by thousands across the enterprise. You will experiment rapidly, evaluate emerging technologies, and deliver production-ready AI systems that reduce manual work, improve decision-making, and streamline operations at scale. You'll join a high-impact, deeply technical team operating in a startup-within-Sam's-Club environment-where you have autonomy, the opportunity to work on enterprise-wide initiatives, and the chance to directly shape the future of AI at one of the world's largest retailers. What you'll do... What You'll Do 1. Build and Launch Enterprise-Scale Generative AI Products * Design, develop, and deploy end-to-end Generative AI systems-including chat agents, headless agents, and decision-automation orchestrators-that drive measurable business impact. * Deliver real-time inferencing pipelines using GenAI, NLP, speech, vision, forecasting, classification, and optimization models to power agent behavior. * Own models "from prototype to production," ensuring reliability, low latency, and high-volume performance. 2. Experiment, Evaluate, and Operationalize Emerging AI Frameworks * Continuously test evolving AI frameworks (e.g., LangChain, LlamaIndex, CrewAI, custom orchestration loops) and build POCs that influence enterprise adoption. * Assess model architectures, prompt-optimization strategies, memory handling, and action-selection loops. * Identify and mitigate real-world failure modes such as hallucination, improper tool invocation, context drift, or scaling constraints. 3. Engineer and Scale Cloud-Native AI Infrastructure * Build distributed, production-grade AI systems using GCP, AWS, or Azure, and deploy agents using Kubernetes, Kafka, Airflow, vector databases, and scalable microservices. * Solve operational challenges including container cold starts, vector-store scaling, memory fragmentation, GPU-CPU balancing, index rebuilds, and multi-shard latency. 4. Translate Business Problems Into AI Solutions * Work independently with product, engineering, and business partners to translate ambiguous business problems into precise analytical and technical requirements. * Evaluate processes, identify automation opportunities, and deliver AI solutions that improve revenue, reduce cost, or eliminate manual tasks. * Example impact: systematizing importer-escalation workflows, enabling full visibility from "birth to death" of an order, and reallocating labor to higher-value work. 5. Educate and Influence the Enterprise on AI Best Practices * Teach cross-functional partners how AI systems work, how to evaluate them, and how to integrate them into their operations. * Communicate complex AI concepts in clear, business-friendly language-tailoring messages for non-technical audiences. * Create documentation, logs, and presentations that elevate AI literacy across Sam's Club. 6. Raise the Bar for Technical Excellence * Uphold high standards of code quality, experiment tracking, reproducibility, and documentation. * Contribute to AI Center of Excellence toolkits, guidelines, and platform enhancements. What You'll Bring Technical Mastery Required to Succeed * Advanced academic foundation: Master's required; PhD preferred (ideal: MIT, Stanford, Carnegie Mellon, UC Berkeley, Harvard, UC system). * Deep expertise in machine learning: * GenAI, LLMs, NLP, Speech, Vision * Classification, Regression, Forecasting, Unsupervised Learning * Optimization, Graph ML, Causal ML, Bayesian methods * Experimentation and statistical learning * Extensive experience designing and deploying production GenAI or deep-learning systems for real-time or streaming use cases. * Strong programming skills in Python, SQL, and familiarity with distributed systems and MLOps tooling. * Cloud engineering proficiency: GCP preferred, plus experience with AWS/Azure, Kubernetes, Kafka, and Airflow. * Proven ability to manage multiple AI initiatives simultaneously-from ideation through deployment and maintenance. Critical Soft Skills That Make You Effective * Exceptional communication skills-able to package complex technical concepts for business leaders and non-technical audiences. * Strong presentation skills, including documentation, storytelling, and visual explanations. * Independent execution: able to operate with low oversight and high accountability. * Excellent decision-making skills in fast-paced, high-ambiguity environments. Nice to Have * Experience in agent-architectures, tool-based reasoning, memory design, or real-time decision-loops. * Familiarity with vector databases, embedding models, and scalable RAG applications. * Experience in organizations like Google, Meta, IBM, Adobe, Palantir, or similar high-bar tech environments. 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 $90,000.00 - $180,000.00 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 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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, Master's degree 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.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 11. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 12. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 13. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 14. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 15. Masters or Ph.D. Degree in a quantitative field 16. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 17. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

Cognizant is one of the world's leading professional services companies, we help our clients modernize technology, reinvent processes and transform experiences, so they can stay ahead in our constantly evolving world. Cognizant is looking to expand our team and your skills are needed. Are you interested? If so, please apply in order to be considered. We look forward to reviewing your application! The Data Scientist creates a shared understanding of business performance to drive data-driven decisions and accountability across business channels. **Main Responsibilities:** Enables Proactive Insights: Surfaces forward-looking analytics using advanced data modeling and engineering techniques. - Establishes COE Strategy: Develops MSS Data Science COE strategies, best practices, and scalable frameworks. - Optimizes Tools & Processes: Streamlines DS workflows, prioritizes initiatives, and enables cross-LOB alignment and scaling. - Leverages Technical Expertise: Utilizes PySpark/SQL, Fabric Engineering, and Lakehouse architecture for data model development. - Strengthens the Data Ecosystem: Troubleshoots to ensure performance, reliability, and accessibility. - PySpark/SQL - Fabric Engineer & Lakehouse Design - Data model development - Data ecosystem troubleshooting & Solutioning **Hourly Rate and Other Compensation:** The annual salary for this position is between $100,000-114,400 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Benefits:** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer:** The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **LA County (only):** Qualified applicants with arrest and/or conviction records will be considered for employment. Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit ********************************************** If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (******************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46205** **The deadline to apply to this position is [12/5/2025]. Job postings may be extended at the hiring team's discretion based on applicant volume.** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 46205

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. 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, Meijer, Procter & Gamble 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)

Objective of the Job: This position focuses on problem solving by implementing actionable data-driven business solutions, predict emerging trends, providing recommendations to stakeholders by analyzing and modelling a vast variety of data. Duties and Responsibilities: 1) Upholds a high integrity for BRS Systems while supporting Safety, Environmental & Quality Systems 2) Identify business use cases in consultation business stake holders, peers and superiors. 3) Analyze data requirements, create models and provide solutions (combination of ML and Analytics) 4) Document the processes and mentor others in the team. 5) Participate in setting up an analytics platform for Self Service Analytics. Qualifications: 1) Bachelor's degree in computer science or engineering or related field; master's degree preferred. 2) Must have minimum 2 years of experience in Analytics and use of Machine Learning Algorithms. 3) Demonstrated ability in Visualization tools, ML Frameworks, and other related topics. 4) Entrepreneurial drive, with demonstrated ability to deliver projects on time 5) Strong aptitude for learning new technologies and analytics techniques Working Conditions and Physical Requirements: This position requires the ability to work on site or remote from the states of Arkansas, Tennessee, Texas , or Mississippi with occasional on-site visit as needed. Supervisory Responsibility: This position does not supervise others - the scope of the role may change as time progresses and organization grows.

Objective of the Job This position focuses on problem solving by implementing actionable data-driven business solutions, predicting emerging trends, and providing recommendations to stakeholders through data analysis and modeling. Duties and Responsibilities Uphold high integrity while supporting Safety, Environmental, and Quality Systems. Identify business use cases in consultation with stakeholders, peers, and supervisors. Analyze data requirements, create models, and provide solutions (combination of ML and Analytics). Document processes and mentor team members. Participate in setting up an analytics platform for Self-Service Analytics. Qualifications Bachelors degree in computer science, engineering, or a related field; masters degree preferred. Minimum of 2 years of experience in Analytics and the use of Machine Learning algorithms. Demonstrated ability with visualization tools, ML frameworks, and related technologies. Entrepreneurial drive with the ability to deliver projects on time. Strong aptitude for learning new technologies and analytics techniques. Working Conditions and Physical Requirements Ability to work onsite or remotely from Arkansas, Tennessee, Texas, or Mississippi, with occasional onsite visits as needed. Supervisory Responsibility This position does not supervise others; however, the scope of the role may change as the organization grows. Working Place: Osceola, Arkansas, United States Company : 2025 OCt 16th Virtual Fair - US Steel

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

Req number: R6703 Employment type: Full time Worksite flexibility: HybridWho we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are looking for a motivated Data Engineer ready to take us to the next level! If you have skills in Microsoft Access and SQL Server, and are looking for your next career move, apply now. Job Description We are looking for a Data Engineer to stabilize the current production Access/SQL system and create documentation so daily operations can continue reliably. This position will be full-time contract and on-site. What You'll Do Stabilize and support an existing Microsoft Access database application used in daily accounting operations Diagnose issues, implement bug fixes, ensure reliability of daily workflows, and create documentation Troubleshoot and resolve defects in the existing Access front end and SQL Server back end Ensure daily operational workflows function consistently and accurately Document business logic, database relationships, and application workflows to enable internal support Provide knowledge transfer to Office of Internet Technology (OIT) staff Collaborate professionally with business stakeholders to clarify issues and confirm successful resolutions Coordinate with the modernization project team to ensure continued alignment, without performing modernization work What You'll Need Required: 5+ years of experience in Microsoft Access / VBA for debugging and maintenance of existing forms, queries, and modules 5+ years of experience SQL Server experience (queries, stored procedures, debugging) 5+ years of experience reverse-engineering and maintaining legacy systems without redesigning them 5+ years of experience MS Access SQL and Query design 4+ years of experience translating business logic from macros/modules/queries to SQL 4+ years of experience writing stored procedures, PL/SQL, and migrating tables from MS Access to SQL Server 4+ years of experience converting MS Access Forms/Reports to any web-based application 3+ years of experience splitting MS Access Databases into Front Ends and Back Ends Ability to follow change control, documentation, and testing processes Comfortable working within existing architecture and constraints Preferred: Understanding of accounting or financial workflow systems Prior experience stabilizing legacy applications during transition to new platforms Strong written and verbal communication skills for documentation and knowledge transfer QuickBase Rapid Application Development Platform Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor #LI-CB1 Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 - 8111. $35p/h - $40p/h The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for "Find Jobs for Students". All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page. Closing Date: Type of Position: Professional Staff - Project/Program Administration Workstudy Position: No Job Type: Regular Work Shift: Sponsorship Available: No Institution Name: University of Arkansas at Little Rock The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation. Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button. If you have a disability and need assistance with the hiring process please contact Human Resources at ************. For general application assistance or if you have questions about a job posting, please contact Human Resources at ************. Department: COSMOS Department's Website: ************************ Summary of Job Duties: The Project/Program Specialist (Data Engineer IV) position is a full-time provisional with the COSMOS Research Center (cosmos.ualr.edu) at the University of Arkansas and is funded through a grant or contract. The position renewal is contingent upon continued grant funding and satisfactory job performance. The Project/Program Specialist (Data Engineer IV) will collect, manage, and convert raw data into usable information for analytics and decision-making. This role requires comprehensive data analysis skills, developing and maintaining datasets, improving data quality and efficiency through leveraging data systems and pipelines, interpreting trends and patterns of data, creating complex data reports, and building algorithms and prototypes. In addition, the other responsibilities include leading the development of social media data collection pipelines, inference methods and infrastructure, classification methods and infrastructure, and visualization dashboards. The Project/Program Specialist (Data Engineer IV) will collaborate with researchers, participate in research projects, and interact with other developers at the COSMOS research center and partner organizations to achieve the best possible performance metrics across various projects. Excellent communication and problem-solving skills are essential for this on-campus position, as the data engineer's role is to find opportunities to contribute to cutting-edge research in the exciting field of social computing. This position is governed by state and federal laws and agency/institution policy. The position reports to Dr. Nitin Agarwal (******************), Maulden-Entergy Endowed Chair, Distinguished Professor, and Director, COSMOS Research Center at UA-Little Rock. Qualifications: Required Education and/or Experience: * The candidate must have a master's degree in Computer Science, Information Science, or a related discipline; * The candidate must have 4+ years of experience as a data engineer, software developer, software engineer, database administrator, or other similar roles; * The candidate must have 2+ years of experience leading a team of data engineers; * Having a Ph.D. degree in Computer Science, Information Science, or a related discipline is a plus. Job Duties and Responsibilities: * Lead a team of data engineers; * Collecting and analyzing raw data from various sources, including social media platforms; * Organize and maintain datasets; * Improving data quality and process efficiency; * Design and manage data ETL pipelines that encompass the journey of data from source to destination systems, processing 10 million+ data points daily, utilizing Kafka for real-time data streaming and MongoDB for NoSQL storage across Kubernetes clusters; * Design and deploy scalable microservices in Python and Golang, leveraging FlaskAPI, GraphQL, and Docker, ensuring sub-second response times and efficient concurrency with goroutines; * Migrated large amounts of data from legacy databases to MongoDB to achieve sub-second access latencies and optimize storage for unstructured data through Elasticsearch integration; * Set up and manage the infrastructure required for ingestion, processing, and storage of data; * Evaluate the model needs and objectives, interpret trends and patterns of data; * Conduct complex data analysis and report on results; * Prepare data for analysis and reporting by transforming and cleansing it: * Combining raw information from different sources; * Explore ways to enhance data quality and reliability; * Identify opportunities for data acquisition; * Develop analytical tools and programs; * Collaborate with teams at COSMOS on several projects; * Managing services and operational infrastructure for system reliability and resiliency; * Creating continuous integration continuous deployment (CI/CD) pipelines with Jenkins and GitLab CI for automating service/system deployment; * Integrate Prometheus for monitoring, Grafana for real-time dashboarding/visualization, and log analysis with Kibana sourced from Elasticsearch; * Front-end development (HTML/CSS, JavaScript, Node.js, etc.); * Training machine learning (ML) models on datasets; * Creating continuous integration continuous deployment (CI/CD) pipelines with Jenkins and GitLab CI for automating service/system deployment: * Integrate Prometheus for monitoring, Grafana for real-time dashboarding/visualization, and log analysis with Kibana sourced from Elasticsearch; * Front-end development (HTML/CSS, JavaScript, Node.js, etc.); * Deploying machine learning (ML) models; * Enhance the system's fault tolerance by incorporating alert mechanisms; * Develop frameworks like Spring Boot, React: * Work on other tasks as asked. Knowledge, Skills, and Abilities: * Expert proficiency level in working with data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques; * Expert proficiency level in working with programming/scripting languages (e.g., Java and Python); * Expert proficiency level in working with data integration platforms and SQL database design; * Expert proficiency level in working with numerical, analytical, and data security skills; * Expert proficiency level in collecting raw data from various social media platforms; * Expert proficiency level in creating CI/CD pipelines; * Expert proficiency level with front-end development (HTML/CSS, JavaScript, Node.js, etc.); * Expert proficiency level with training and deploying machine learning (ML) models on datasets; * Ability to lead a large team of data engineers (5+ members); * Expert proficiency level with Kafka and MongoDB for NoSQL storage across Kubernetes clusters; * Expert proficiency level with microservices, Python, Golang, FlaskAPI, GraphQL, and Docker: * Expert proficiency level with Elasticsearch, Grafana, Prometheus, and Kibana; * Expert proficiency level in data modeling concepts (ERD, Dimensional Modeling, Data Vault) and data APIs (RESTful API); * Expert proficiency level in data processing software (e.g., Hadoop, Spark, TensorFlow, Pig, Hive) and algorithms (e.g., MapReduce, Flume); * Expert proficiency level in cloud platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, Amazon Red Shift, Google BigQuery, Azure Synapse); * Expert proficiency level in technical communications. Additional Information: Salary Information: $95,000 Required Documents to Apply: Resume Optional Documents: Special Instructions to Applicants: Recruitment Contact Information: Dr. Nitin Agarwal (******************) Maulden-Energy Chair and Donaghey Distinguished Professor Director, COSMOS Research Center All application materials must be uploaded to the University of Arkansas System Career Site ***************************************** Please do not send to listed recruitment contact. Pre-employment Screening Requirements: Criminal Background Check, Sex Offender Registry The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights. Persons must have proof of legal authority to work in the United States on the first day of employment. All application information is subject to public disclosure under the Arkansas Freedom of Information Act. Constant Physical Activity: Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking Frequent Physical Activity: Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking Occasional Physical Activity: Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking Benefits Eligible: Yes

**_JOB TITLE:_** Data Engineer **_CAYUSE COMPANY:_** Cayuse Civil Services, LLC **_SALARY:_** $93,600-$119,800 The Data Engineer is responsible for designing, developing, and maintaining saleable data pipelines and architecture to support the client's business intelligence, analytics, and operational data needs. This position performs all duties and responsibilities in accordance with the Mission, Vision, and Core Values of Cayuse. **Responsibilities** + Assess feasibility and technical requirements for LINKS→DataLake integration. + Collaborate with OPH Immunization Program, OPH Bureau of Health Informatics and STChealth on data specifications and recurring ingestion pipelines. + Build and optimize ETL workflows for LINKS and complementary datasets (Vital Records, labs, registries). + Design scalable data workflows to improve data quality, integrity, and identity resolution. + Implement data governance, observability, and lineage tracking across all pipelines. + Mentor engineers, support testing, and enforce best practices in orchestration and architecture. + Document and communicate technical solutions to technical and non-technical stakeholders. + Other duties as assigned. **Qualifications** **Here's What You Need** + 3 years of experience in data engineering and/or data architecture + 2 years of experience with Python for ETL and automation (pandas, requests, API integration). + 2 years hands-on experience with SQL queries, stored procedures, performance tuning (preferable Oracle, SQL Server, MySQL) + 1 year experience with ETL orchestration tools (Prefect, Airflow or equivalent). + Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment. **Minimum Skills:** + Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner. + Exceptional verbal and written communication skills. + Excellent organizational, analytical, and problem-solving skills with high-level attention to detail. + Proven ability to multitask and prioritize in a fast past environment with changing priorities; adaptable to change and a quick learner. + Must be self-motivated and able to work well independently as well as on a multi-functional team. + Ability to handle sensitive and confidential information appropriately + Proficient in MS Office, Word, Outlook, PowerPoint, and Excel. **Desired Qualifications:** + 5+ years of experience in data engineering roles + Experience integrating or developing REST/JSON or XML APIs + Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.). + Exposure to Infrastructure as Code experience (Terraform, CloudFormation). + Experience with data governance and metadata tools (Atlan, OpenMetadata, Collibra). + Public health/healthcare dataset or similar experience, including PHI/PII handling. + Familiarity with SAS and R workflows to support epidemiologists and analysts. + Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery). + Familiarity with data quality frameworks (Great Expectations, Deequ). + Experience with real-time/streaming tools (Kafka, Spark Streaming). + Familiarity with big data frameworks for large-scale transformations (Spark, Hadoop). + Knowledge of data security and compliance frameworks (HIPAA, SOC 2, etc.). + Agile/SCRUM team experience. **Our Commitment to you / overview of benefits** + Medical, Dental and Vision Insurance; Wellness Program + Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) + Short-Term and Long-Term Disability options + Basic Life and AD&D Insurance (Company Provided) + Voluntary Life and AD&D options + 401(k) Retirement Savings Plan with matching after one year + Paid Time Off **Reports to: Program Manager** **Working Conditions** + Professional office environment. + Must be physically and mentally able to perform duties extended periods of time. + Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position. + Must be able to establish a productive and professional workspace. + Must be able to sit for long periods of time looking at computer screen. + May be asked to work a flexible schedule which may include holidays. + May be asked to travel for business or professional development purposes. + May be asked to work hours outside of normal business hours. **Other Duties:** _Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice._ **_Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law._** **Pay Range** USD $93,600.00 - USD $119,800.00 /Yr. Submit a Referral (************************************************************************************************************************** **Can't find the right opportunity?** Join our Talent Community (********************************************************** or Language Services Talent Community (******************************************************** and be among the first to discover exciting new possibilities! **Location** _US-_ **ID** _103795_ **Category** _Information Technology_ **Position Type** _Full-Time Salary Exempt_ **Remote** _Yes_ **Clearance Required** _None_

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Key Responsibilities: + Utilize strong SQL & Python skills to engineer sound data pipelines and conduct routine and ad hoc analysis to assess the performance of legacy products and the saliency of new features. + Build reporting dashboards and visualizations to design, create and track campaign/program KPIs. + Perform analyses on large data sets to understand drivers of operational efficiency. + Manage end-to-end process of analytic tooling feature development, including request intake, requirements evaluation, cross-functional team alignment, feature execution, QA testing, and stakeholder communication. + Consult with business analysts, technical data SMEs, and cross-functional partners to understand their reporting and data needs, serving as the point of contact for requests, inquiries, and actions Interface with other data engineering, product, and data science teams to implement client needs and initiatives. *Location: Remote - Bay Area Preferred Basic Qualifications: + Minimum 5 years of experience as a Data Engineer + High School Diploma or GED Preferred Qualifications: + Experience with programming languages SQL and Python Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York/New Jersey or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************************************** Role Location Hourly Salary Range California $62.98 to $72.98 Cleveland $62.98 to $72.98 Colorado $62.98 to $72.98 District of Columbia $62.98 to $72.98 Illinois $62.98 to $72.98 Maryland $62.98 to $72.98 Massachusetts $62.98 to $72.98 Minnesota $62.98 to $72.98 New York/New Jersey $62.98 to $72.98 Washington $62.98 to $72.98 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. 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