Data scientist jobs in Bartlett, TN - 24 jobs

We are seeking a dedicated and analytical Entry-Level Data Scientist to join our remote team. In this role, you will collaborate with seasoned data specialists on a variety of projects. This is a wonderful opportunity for a data enthusiast to improve and grow in a supportive environment. *Key Responsibilities:* - Assist with data collection, cleaning, and preprocessing. - Analyze large datasets to find trends and insights. - Develop prediction models and algorithms under supervision. - Create infographics and reports to discuss your findings with stakeholders. - Collaborate with cross-functional teams to integrate data-driven insights into business strategy. - Stay current on the latest industry trends and advancements. *Qualifications:* - A bachelor's degree in data science, math, statistics, or a related field. - Proficient in programming languages including Python and R. - Familiarity with data visualization tools like Tableau and Power BI. - Outstanding analytical and problem-solving abilities. - Excellent communication and teamwork skills. - Willingness to learn and adapt in a fast-paced environment. *Benefits:* - Competitive pay and performance bonuses. - Flexible working hours with a remote-first emphasis. - Comprehensive health, dental, and vision insurance. - Generous paid time off and holidays. - Professional development and training opportunities. - Access to innovative tools and technology. - Involving the corporate culture through virtual team-building events and activities. *Equal opportunity. Employer:* We are committed to establishing an inclusive and diverse workplace. We welcome applicants from all walks of life and value the many ideas and experiences that each brings to our team.

Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period! For more information about our benefits, see below! We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control and other services across more than 90 countries. We pride ourselves on being a trusted partner to many of the world's leading brands and serve consumer and business customers across multiple industries. We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to "protect people, enhance lives, and preserve the planet." Overview We are seeking an experienced and highly motivated Sr. Manager, Data Scientist to lead a team of talented data scientists focused on advancing our marketing analytics capabilities. This role will be instrumental in translating complex marketing challenges into data-driven solutions, driving insights that optimize campaign performance, enhance customer understanding, and maximize ROI. The ideal candidate will possess a strong blend of technical expertise in data science, proven leadership abilities, and a deep understanding of marketing strategies and analytics. Duties & Responsibilities * Team Leadership & Management * Lead, mentor, and develop a team of 2-3 data scientists, fostering a collaborative and high-performing environment. * Set clear goals, provide regular feedback, and conduct performance reviews for team members. * Support the professional growth of team members through training, conferences, and challenging assignments. * Collaborate with cross-functional teams to identify opportunities for leveraging data science to create business value. * Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards. * Oversee the end-to-end lifecycle of data science projects, from ideation and prototyping to production and monitoring. * Conduct rigorous reviews of statistical and optimization models to ensure they meet business needs, technical standards, and ethical guidelines. * Executive Presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations. * Technical Execution & Innovation * Apply a strong understanding of statistical modeling, machine learning algorithms, and experimental design. * Oversee the end-to-end data science lifecycle, including data collection, cleaning, feature engineering, model development, validation, deployment, and monitoring. * Ensure the integrity and accuracy of data used for analysis and modeling. * Contribute to the development of scalable data pipelines and analytical infrastructure in collaboration with data engineering teams. * Hands-on experience deploying models from development through production in a modern data science stack * Champion the use of cutting-edge data science techniques to solve challenging marketing problems. * Strategic Marketing Analytics & Insights * Partner closely with marketing leadership and stakeholders to understand business objectives and identify opportunities for data science to drive impact. * Define and execute the roadmap for marketing analytics initiatives, aligning with overall business strategy. * Lead the design, development, and implementation of advanced analytical models (e.g., attribution modeling, customer lifetime value (CLTV),, segmentation, propensity modeling, personalization algorithms, media mix modeling (MMM)). * Develop and implement A/B and multivariate testing frameworks and methodologies to measure the impact of marketing initiatives. * Stay abreast of industry trends and emerging technologies in data science and marketing analytics. * Cross-Functional Collaboration & Communication * Collaborate effectively with cross-functional teams including Marketing, Product, Sales, IT, and Data Engineering. * Translate complex analytical findings into clear, actionable insights and recommendations for marketing teams and senior leadership. * Act as a subject matter expert in data science and marketing analytics within the organization. Education * Master's or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field. Experience * 10+ years of progressive experience in data science, with at least 2-3 years in a leadership or management role, leading a team of data scientists. * Extensive experience with ML predictive analytics, optimization algorithms, and large-scale data processing frameworks. * Significant experience working in cross-functional teams and influencing stakeholders at all levels of the organization. * Demonstrable experience with many of the following: Demand Forecasting, Segmentation, Testing, Predictive Customer Response, Price Optimization, Marketing Mix Modeling, Customer Journey Analytics, Next Best Product/Offer, Customer Elasticity (Market Response Modeling), Skills & Competencies * Expert proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch) and/or R. * Strong SQL skills for data extraction and manipulation. * Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure). * Solid understanding of statistical inference, experimental design, and causal analysis. * Proven ability to build, deploy, and monitor machine learning models in production environments. * Excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels. * Strong problem-solving abilities and a strategic mindset. No sponsorship or OPT available Base Pay Range $135,700 - $176,400 / year While starting pay falls within the given range, it can vary based on factors like geographic location, skills, education, and experience. Total earnings may also be affected by overtime, incentives, commissions, performance, and route assignment (where applicable). #LI-Remote Why Choose Us? A career with the Rentokil family of companies can be a professional trajectory filled with opportunity. We pride ourselves on being a world-class team that rewards high performance, and we love to promote from within. We offer competitive pay and many of our roles offer performance incentives. Below you'll find information about some of what we have to offer. All Full-Time Colleagues qualify for the following and Part-Time Colleagues qualify for most benefits after they meet certain criteria. Click here to read more about our Total Rewards Program which includes: Professional and Personal Growth * Multiple avenues to grow your career * Training and development programs available * Tuition Reimbursement benefits (for FT Colleagues) Health and Wellness * Full-time colleagues are eligible to begin enrollment immediately upon hire with benefits starting on day 1 * Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more Savings and Retirement * 401(k) retirement plan with company-matching contributions Work-Life Balance * Vacation days & sick days * Company-paid holidays & floating holidays * A company mindset that prioritizes health, safety, and flexibility We are looking for individuals who want to make a difference where our customers live and work. Is that you? This company is a Drug Free workplace. Rentokil is committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities. California residents click here to review your privacy rights. 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. By applying to this job, you agree to receive initial texts from systems used on behalf of Rentokil North America, Inc., possibly including Workday, Loop, and HireVue. These systems utilize text messages to communicate with you throughout the application, interview, and pre-hire processes. You can set your communication preferences or opt out of text messages from each system at any time following the initial message. Message and data rates may apply.

As a Data Scientist at AutoZone, you'll be the analytical powerhouse behind our business solutions. You'll dig deep into data, build models, and deliver insights that shape everything from marketing strategies to customer experiences. Your work will help us connect the dots and unlock opportunities hidden within our data-ultimately driving growth and innovation across the organization. What We Are Looking For Bachelor's degree in Statistics, Applied Mathematics, Economics, or related field (Master's preferred). 5-7 years of experience in statistical analysis and data modeling. Proficiency in SQL, SAS, and programming languages such as R or Python. Strong knowledge of statistical techniques (e.g., regression, cluster analysis, time series modeling). Ability to communicate complex findings in a clear, actionable way. A collaborative mindset and a passion for problem-solving. You'll Go the Extra Mile If You Have Advanced experience in predictive modeling and pattern recognition. Expertise in developing custom algorithms and data models. Familiarity with A/B testing frameworks and model quality assessment. A track record of leveraging data to drive measurable business outcomes. Responsibilities Partner with senior data scientists and leadership to understand business needs. Research and design innovative statistical models for data analysis. Communicate insights clearly to stakeholders across the organization. Mine and analyze data to optimize product development, marketing, and business strategies. Develop predictive models to improve customer experience and revenue generation. Build and maintain A/B testing frameworks and monitor model performance. Stay current with industry trends and emerging technologies. Collaborate with cross-functional teams to implement models and track outcomes.

Provides expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling and initiatives. Leads staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations. Creates and executes solutions form initial concept to fully tested production and communicates results to a broad range of audiences. Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact-based management to drive decision making. Mentors fewer senior staff. Leads cross functional teams. Routinely work on multiple highly complex assignments. Provides consultation to senior leadership on a normal basis. Performs other duties as assigned. Requirements Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics or related quantitative field plus 5 years of experience in the job offered or 5 years of work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics. The employer will alternatively accept a Master's degree in data science, computer science, applied mathematics, data analytics, statistics or related quantitative field plus 3 years of experience in the job offered or 3 years of work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics in lieu of a Bachelor's degree plus 5 years of experience. The position requires experience with: Superior analytical skills with diverse analytics and statistical software and applications. Excellent interpersonal skills, written and oral communication skills. Proven leadership skills. Proven experience leading end-to-end data science projects from problem framing to model deployment and monitoring. Experience with MLOps practices and model deployment in production environments using Azure DevOps, GitHub Actions, or similar tools. Expertise in Service Oriented Architecture and Design Patterns. Prior experience collaborating with cross-functional teams including product, engineering, and business stakeholders. Capable of building Systems to handle millions of data using company standard tools. Legacy Modernization with State-of-the-Art Technology Stacks. Building ETL programs to support the business architecture using Informatica PowerCenter & Ab-Initio. Creating business reports on the data using company standard tools like SAS, TIBCO Spotfire, Power BI etc. Strong communication skills with the ability to present technical findings to non-technical audiences and senior leadership. This position will be hybrid in Memphis, TN and candidates must live within a 50- mile radius. This position is hybrid, meaning that employees will be required to work at a FedEx office location up to several times per week. EEO Statement Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact ****************************. Applicants have rights under Federal Employment Laws: * Know Your Rights * Pay Transparency * Family and Medical Leave Act (FMLA) * Employee Polygraph Protection Act E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program: * E-Verify Notice (bilingual) * Right to Work Notice (English) / (Spanish)

Hi, I hope you are doing good. I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further. Role: Sr. Data Scientist Duration: Full Time / Permanent Location: Memphis, TN Required Skills: Overall Responsibilities: Senior data scientist. Research various analytical approaches Recommend and develop mathematical algorithms for related business problems Communicate and direct development teams on implementation of statistical models Interface with Business users and gather feedback on delivered analytical data. Deploy solutions on to big data platforms Functional Responsibilities: Specific tasks include but are not limited to: Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD Validation of analytical approaches produced by vendor and 3rd party consulting teams Developing data validation methods Required Skills: Technical / Analytical Skills: Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques etc.) Experience with regression techniques for modeling the relationship between an output variable and several input variables Experience with Big Data technologies Experience with visualization tools like Tableau Experience creating interface specification documents, attribute mapping documents, functional specifications Experience with web scraping Experience with Text Matching applications Nice to have: Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities Essential Skills Strong verbal and written communication skills Strong research skills Python, R, SQL, Hive, Spark Statistical analysis: To understand and work around possible limitations in models Being able to develop hypothesis and test the Hypothesis with careful experiments Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas Should have experience with time series modeling Should have experience with optimization approaches Familiarity with the Big Data Ecosystem tools: Hadoop, Hive, Impala, Mahout, Spark(Spark SQL, MLLib),Hbase and be comfortable with the using the tools Strong experience in data manipulation using SQL on Hive/Impala or other Databases Experience in developing and deploying model with Mahout, Spark MLLib is preferable. Must be proficient in programming either R/Python/Scala. Should have experience in Financial services industry -Capital market would be preferable Should have exposure to Data Visualization tools: Tableu(Preferable)/Qlickview/Excel Additional Information All your information will be kept confidential according to EEO guidelines.

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description Senior data scientist. Research various analytical approaches Recommend and develop mathematical algorithms for related business problems Communicate and direct development teams on implementation of statistical models Interface with Business users and gather feedback on delivered analytical data. Deploy solutions on to big data platforms Functional Responsibilities: Specific tasks include but are not limited to: Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD Validation of analytical approaches produced by vendor and 3rd party consulting teams Developing data validation methods Technical / Analytical Skills: Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques etc.) Experience with regression techniques for modeling the relationship between an output variable and several input variables Experience with Big Data technologies Experience with visualization tools like Tableau Experience creating interface specification documents, attribute mapping documents, functional specifications Experience with web scraping Experience with Text Matching applications Nice to have: Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities Essential Skills Strong verbal and written communication skills Strong research skills Python, R, SQL, Hive, Spark Statistical analysis: To understand and work around possible limitations in models Being able to develop hypothesis and test the Hypothesis with careful experiments Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas Should have experience with time series modeling Should have experience with optimization approaches Familiarity with the Big Data Ecosystem tools: Hadoop, Hive, Impala, Mahout, Spark(Spark SQL, MLLib),Hbase and be comfortable with the using the tools Strong experience in data manipulation using SQL on Hive/Impala or other Databases Experience in developing and deploying model with Mahout, Spark MLLib is preferable. Must be proficient in programming either R/Python/Scala. Should have experience in Financial services industry -Capital market would be preferable Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of experience within the Information Technologies. Additional Information ** U.S. citizens and those who are authorized to work independently in the United States are encourage to apply. We are unable to sponsor at this time. Note:- This is a Full-Time & Permanent job opportunity. Only US Citizen, Green Card Holder, GC-EAD, H4-EAD, L2-EAD, H1B and TN Visa can apply. H1B Transfer can also apply for this Full-Time & Permanent job position No OPT-EAD candidates please. Please mention your Immigration Status while applying . All your information will be kept confidential according to EEO guidelines.

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.

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

Senior Data Engineer - NIKE RETAIL SERVICES INC.- Memphis, TN. Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology. Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes. Evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing. Translate product backlog items into engineering designs and logical units of work. Analyze data for the purpose of designing scalable solutions. Define and apply appropriate data acquisition and consumption strategies for given technical scenarios. Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem. Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns. Implement complex automated routines using workflow orchestration tools. Anticipate, identify and tackle issues concerning data management to improve data quality. Build and incorporate automated unit tests and participate in integration testing efforts. Telecommuting is available only in AR, MS, and TN. Must have a Master's degree in Computer Science, Computer Engineering or Applied Computer Science and 2 years of experience in the job offered or a computer-related occupation. Experience must include: - Snowflake - AWS Native Services - Oracle - DB2 - MS SQL Server - MS SSIS - Attunity - Apache Airflow - Python - Confluence - Tableau - GitHub - DataBricks - Jenkins **Apply at ******************** (Job# R-70331)** \#LI-DNI We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form (******************************************************************* . NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, protected veteran status, or disability. NIKE is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call *************** and let us know the nature of your request, your location and your contact information.

Key Responsibilities + Design, develop, and maintain end-to-end data pipelines using Azure-native services + Build and manage ETL/ELT workflows for structured and unstructured data + Develop and optimize data solutions using: + Azure Data Factory + Azure Synapse Analytics + Azure Data Lake Storage (ADLS Gen2) + Azure Databricks + Ensure data quality, reliability, security, and performance + Collaborate with data scientists, analysts, and business stakeholders + Implement data modeling strategies for analytics and reporting + Monitor, troubleshoot, and optimize data pipelines and workflows + Apply best practices for data governance, security, and compliance + Automate data processes using Python, SQL, and Spark + Support CI/CD pipelines and infrastructure-as-code where applicable Requirements Required Qualifications + 3+ years of experience in data engineering or related roles + Strong experience with Microsoft Azure data services + Proficiency in SQL and data modeling concepts + Experience with Azure Data Factory and Azure Synapse + Hands-on experience with Azure Data Lake (ADLS Gen2) + Strong scripting skills in Python + Experience working with large datasets and distributed systems + Understanding of data warehousing and analytics architectures + Ability to troubleshoot complex data issues and optimize performance Technology Doesn't Change the World, People Do. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) and Privacy Notice (https://www.roberthalf.com/us/en/privacy) .

Category Computational Research Department Scientific Director's Office Type Full Time Scheduled Weekly Hours 40 Req # JR4870 Job Description Join an excellent team of researchers dedicated to coming closer to the mission of St. Jude Children's Research Hospital, that no child will die at the dawn of life. The Compuational and Structural Biology Center(CSBC) in the Center of Excellence for Data-Driven Discovery (C3D) of the Department of Structural Biology seeks a skilled and highly motivated Senior Bioinformatics Research Scientist. The CSBC is the collaborative interface of the C3D, working with St Jude researchers campus-wide to disseminate and implement the computational technological developments of the C3D. As a Senior Computational Researcher (S18) or Computational Research Scientist (S19) in the CSBC, you will play a pivotal role in the ligand discovery team, led by Dr. Christoph Gorgulla. You will be the first team member in the CBSC focused on ligand discovery, joining a team of dedicated computational researchers with diverse expertise ranging from structural bioinformatics to machine learning and AI. Your primary mission will be to work with other groups and researchers across St. Jude to implement our technologies to identify novel hit/lead compounds for the treatment of various diseases. You will work with them to optimize any results, working to obtain new tool compounds and drug candidates. Leveraging state-of-the-art computational methods, including structure-based ultra-large virtual screenings, (quantum and classical) free energy simulations, and machine-learning techniques, you will contribute to groundbreaking research in the field. The primary ligand discovery platform that we will be using is the VirtualFlow ultra-large virtual screening platform. Collaboration is at the heart of this role, and you will closely collaborate with other computational and wet lab colleagues who validate and experimentally verify the predicted hit and lead compounds. By working together in a collaborative and intellectually stimulating environment, you will have the opportunity to contribute to a large number of ligand/drug discovery projects and make a lasting impact on the lives of children fighting cancer and other life-threatening diseases. The successful candidate will have the opportunity to lead collaborative projects, mentor junior scientists and students, and contribute to high-impact publications. Senior Computational Researcher Requirements Job Responsibilities: * Perform analyses using existing, modified, or newly developed tools/methods. * Set up tools, and troubleshoot analyses using new or modified computational research techniques. * Identify data pertinent to the analysis problem; process, organize, and summarize data; report results. * Assist in the drafting and editing of manuscripts. * Provide guidance to entry-level employees. * Perform other duties as assigned to meet the goals and objectives of the department and institution. * Maintains regular and predictable attendance. Minimum Education and/or Training: * Bachelors in bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field required. * Master's degree preferred. Minimum Experience: * Minimum Requirement: Bachelor's degree and 4+ years of relevant experience. * Experience Exception: Master's degree and 1+ years of relevant experience. * Experience leading and supporting computational research. * Some experience in research support activities. * Proven performance in earlier role/ comparable role. Computational Research Scientist The Computational Research Scientist is responsible for leading and performing computational research projects under moderate supervision. Job Responsibilities: * Lead computationally focused scientific research projects with moderate supervision from their PI. * Provide inputs regarding analytical approaches, set up analyses, and can develop new computational research methods with input from PI. * Identify, process, organize, summarize, review, and report relevant data. * Draft a manuscript and work through the submission and review process with input from the PI, as directed. * Instruct and provide guidance to other staff in basic computational research techniques and procedures. * (In the case of recent Ph.D. graduates, this position can be considered equivalent to a mentored postdoctoral position.) * Perform other duties as assigned to meet the goals and objectives of the department and institution. * Maintains regular and predictable attendance. Minimum Education and/or Training: * Bachelor's degree in Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field required. * Master's degree or PhD preferred. Minimum Experience: * Minimum Requirement: Bachelor's degree and 6+ years of relevant experience. * Experience Exception: Master's degree and 4+ years of relevant experience (OR) PhD with no experience. * Rough criteria for this position based on publication output: 1-2 first author papers IF >5 (or equivalent contribution to other research outputs). * Prior experience in computational research techniques preferred. * Experience in project coordination, maintenance, and other research support activities preferred. About St. Jude St. Jude Children's Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic diseases of childhood. The first and only National Cancer Institute (NCI)-designated Comprehensive Cancer Center devoted solely to children. Our 300 faculty work across the spectrum of basic, translational, clinical, and population science in a highly collaborative multidisciplinary environment that includes a Nobel laureate and members of the National Academy of Science and the National Academy of Medicine. St. Jude is ranked on Fortune Magazine's "Best Workplaces in Health Care & Biopharma" and Glassdoor's "Best Places to Work". St. Jude is one of the best-funded research institutes in the US with an annual budget of over $2 billion per year (****************************************************** What We Will Offer You Working at St. Jude is a remarkable experience in many ways, and you will be provided with many special perks. * Mission and Purpose: At St. Jude, working is more than just a job - it's a calling. Each member of St. Jude is united by a shared purpose: finding cures and saving children. In addition to the meaningful work you will undertake, we offer a range of perks to enhance your experience. * Community and Belonging: St. Jude is like a warm family that welcomes you, to a large part because it is a Children's hospital. * The Best of Both Worlds - Industry and Academia: St. Jude provides academic freedom in research and industrial efficiency and resources. We have access to world-class shared resources/facilities led by expert scientists, coupled with state-of-the-art technology and funding, accelerating research productivity. * World-Class Benefits: St. Jude offers a world-class benefits package (**************************************************** Enjoy comprehensive healthcare, a competitive salary, tuition assistance for continued education, and exceptional work-life balance with ample paid time off. * Professional Growth: You will have access to opportunities to enhance your professional growth in terms of scientific skills, soft skills, and your career (St. Jude has well defined career path). * Diversity: St. Jude is dedicated to fostering an inclusive and diverse scientific community, where everyone's contributions are valued. More information is available here. * Competitive Compensation: Embark on your journey with a competitive salary (depending on experience) comprehensive benefits and generous relocation assistance, reflecting our commitment to recognize and invest in talent. Furthermore, in Memphis/Tennessee, there is no income tax. * Top Employer: St. Jude was among the top 10 large employers in the US in 2024, ahead of Google, Microsoft and Apple: ****************************************************************** . Top Employer for Women: St. Jude is also among the top 10 employers for women in the US: ************************************************** . St. Jude Children's Research Hospital is high school and college students' top "dream employer," according to the National Society of High School Scholars (NSHSS) 2018 Career Interest Survey. ********************************************************************************** . * Personalized Guidance: Dr. Gorgulla is committed to providing hands-on mentorship tailored to your needs and career aspirations. Whether you are refining scientific techniques or soft skills, you will have his full support. * Modern Buildings and Spaces: Our research group and wet lab is located in the newest building of the compus, the Inspiration 4 - Advanced Research Center, that cost of $400 million to construct. * Additional Perks: St. Jude offers many special perks, such as an on-site gym, an employee pharmacy, and many others. To learn more about the unexpected perks of working at St. Jude, visit our website at ************************************************************************************************ About Memphis St. Jude is located in the heart of Memphis, Tennessee, a vibrant and friendly city at the historic American crossroads of music, trade, food, and culture. Living in Memphis provides several unique advantages, including: * Breathtaking Nature: Memphis provides unique nature and scenery, such as the Mississippi (the largest river in the US) or Shelby Farms Park, with which 4,500 acres is one of the largest urban parks in the country. See ********************************************* for more details. * Its Culture: It is for instance the home of Elvis Presley. See ****************************************** for more details on the cultural aspects. * It's Affordability: Memphis is one of the most affordable cities in the US, meaning the same income will bring you farther than in other places in the US (for more details, see ************************************************************ For a video with testimonials about how new St. Jude members experienced Memphis, see here: ************************************************************************************************** Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $78,000 - $139,360 per year for the role of Senior Computational Researcher Drug Discovery or Computational Research Scientist. Explore our exceptional benefits! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

The Apex Group was established in Bermuda in 2003 and is now one of the world's largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. That's why, at Apex Group, we will do more than simply 'empower' you. We will work to supercharge your unique skills and experience. Take the lead and we'll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Senior Data Engineer - Analytics & Reporting (Senior Report Writer) Location : Manila, Philippines Description This role works with the Cloud Data Platform (CDP) within the Apex Investment Administration New Zealand business, which provides fund administration, wealth administration, unit pricing, and custody services to investment managers who collectively have over $140 billion of assets. The role plays a crucial role in developing, maintaining, and modernizing our data pipelines and reporting capabilities. The Senior Report Writer will work extensively with SQL, cloud data platform technologies and reporting tools to deliver accurate, timely, and performant data solutions. Job specification * Developing, maintaining, and enhancing Apex New Zealand's modern data platform including: o Creating reusable data models for financial reporting. o Writing and maintaining reports and dashboards. o Ensuring security and reliability of the data, creating automated tests and working with stakeholders to ensure data accuracy. o Creating and maintaining technical documentation. * Ability to break down complex deliverables into stages of work and provide estimates to internal and external stakeholders. * Utilize SQL & dbt to build, test, and deploy data transformation models that maintain data quality and consistency. * Design and develop advanced SSRS reports, Power BI dashboards to visualize complex datasets, ensuring high performance and user-friendly interfaces. * Delivering Quality - instilling and maintaining a focus on how quickly the team are learning and how we can improve the overall data platform. * Participate in agile ceremonies and contribute to team planning. * Promoting best practice standards, conducting code peer reviews and ensuring effective knowledge sharing. * Effective time management, ability to manage various projects, stakeholders and pivot to priority incidents as required. Skills Required: * Strong proficiency in SQL, ability to perform root cause analysis to identify and resolve data processing and reporting issues. * Design, build, and optimize robust and reusable datasets in Snowflake, dbt. * Experience creating reports and dashboards with tools like SSRS and PowerBI. * CI/CD and Git experience. * Excellent written and verbal communication skills to liaise with internal and external stakeholders. * An analytical mind with strong problem-solving skills. * Great relationship management and service delivery mindset. * Azure Ecosystem, Azure DevOps, Azure Data Factory * Data modelling, data processing & data migration, ETL/ELT techniques e.g. Fivetran, * Exposure to data-sharing, and governance controls i.e. data masking, RBAC policies. * Investment or Financial industry experience What you will get in return: * A genuinely unique opportunity to be part of an expanding large global business; * Competitive remuneration commensurate with skills and experience; * Training and development opportunities Additional information: We are an equal opportunity employer and ensure that no applicant is subject to less favourable treatment on the grounds of gender, gender identity, marital status, race, colour, nationality, ethnicity, age, sexual orientation, socio-economic, responsibilities for dependants, physical or mental disability. Any hiring decision are made on the basis of skills, qualifications and experiences. We measure our success as a business, not only by delivering great products and services and continually increasing our assets under administration and market share, but also by how we positively impact people, society and the planet. For more information on our commitment to Corporate Social Responsibility (CSR) please ********************************************************** "Personal data provided by job applicant(s) will be used for recruitment purposes only and will be treated strictly confidential. Such personal data can be accessed by different Apex stakeholders within and out of country for the consideration of the job application hereunder. Application made by the job applicant(s) constitutes the irrevocable consent of the job applicant for her/his personal data to be used by Apex stakeholders within or outside country for the purpose of this recruitment." Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on January 31, 2026 Work You'll Do Client Engagement & Solution Scoping * Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. * Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). * Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. * Solution Architecture & Design * Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). * Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). * Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization * Lead model fine-tuning, prompt engineering, and customization for client-specific needs. * Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. * Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management * Manage solution rollout, including cloud setup, configuration, and production deployment. * Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance * Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. * Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication * Prepare executive-level reports, dashboards, and demos to summarize progress and impact. * Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership * Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. * Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. * 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. * Independent thinker who can create the vision and execute on transforming data into high end client products. * Demonstrated accomplishments in the following areas: * Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). * Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). * Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. * Knowledge of solution architecture, risk assessment, and mapping technology to business goals. * Familiarity with agile methodologies and iterative delivery. * Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available. Preferred: * Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. * Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 316523 Job ID 316523

As a Data Scientist at AutoZone, you'll be the analytical powerhouse behind our business solutions. You'll dig deep into data, build models, and deliver insights that shape everything from marketing strategies to customer experiences. Your work will help us connect the dots and unlock opportunities hidden within our data-ultimately driving growth and innovation across the organization. Responsibilities Responsibilities Partner with senior data scientists and leadership to understand business needs. Research and design innovative statistical models for data analysis. Communicate insights clearly to stakeholders across the organization. Mine and analyze data to optimize product development, marketing, and business strategies. Develop predictive models to improve customer experience and revenue generation. Build and maintain A/B testing frameworks and monitor model performance. Stay current with industry trends and emerging technologies. Collaborate with cross-functional teams to implement models and track outcomes. Qualifications What We Are Looking For Bachelor's degree in Statistics, Applied Mathematics, Economics, or related field ( Master's preferred). 5-7 years of experience in statistical analysis and data modeling. Proficiency in SQL, SAS, and programming languages such as R or Python. Strong knowledge of statistical techniques (e.g., regression, cluster analysis , time series modeling). Ability to communicate complex findings in a clear, actionable way. A collaborative mindset and a passion for problem-solving. You'll Go the Extra Mile If You Have Advanced experience in predictive modeling and pattern recognition. Expertise in developing custom algorithms and data models. Familiarity with A/B testing frameworks and model quality assessment. A track record of leveraging data to drive measurable business outcomes. About Autozone Since opening our first store in 1979, AutoZone has grown into a leading retailer and distributor of automotive parts and accessories across the Americas. Our customer-first mindset and commitment to Going the Extra Mile define who we are, for both our customers and AutoZoners. Working at AutoZone means being part of a team that values dedication, teamwork, and growth. Whether you're helping customers or building your career, we provide tools and support to help you succeed and drive your future. Benefits at AutoZone AutoZone offers thoughtful benefits programs with one-on-one benefits guidance designed to improve AutoZoners' physical, mental and financial well-being. All AutoZoners (Full-Time and Part-Time): Competitive pay Unrivaled company culture Medical, dental and vision plans Exclusive discounts and perks, including an AutoZone in-store discount 401(k) with company match and Stock Purchase Plan AutoZoners Living Well Program for free mental health support Opportunities for career growth Additional Benefits for Full-Time AutoZoners: Paid time off Life, and short- and long-term disability insurance options Health Savings and Flexible Spending Accounts with wellness rewards Tuition reimbursement Minimum age requirements may apply. Eligibility and waiting period requirements may apply; benefits for AutoZoners in Puerto Rico, Hawaii, or the U.S. Virgin Islands may differ. Learn more about all that AutoZone has to offer at Careers.AutoZone.com. We proudly support Veterans, Active-duty Service Members, Reservists, National Guard and Military Families. Your experience is highly valued, and we encourage you to apply to join our team. Online Application: An online application is required. Click the Apply button to complete your application. For step-by-step instructions on how to apply visit careers.autozone.com/candidateresources. AutoZone, and its subsidiary, ALLDATA are equal opportunity employers. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or any other legally protected categories.

Hi, I hope you are doing good. I have a job opportunity related to your profile with one of our client, please find below Job Description for your review. If you are interested and available for the following position then please send your updated resume in word format along with your contact details to discuss further. Role: Sr. Data Scientist Duration: Full Time / Permanent Location: Memphis, TN Required Skills: Overall Responsibilities: Senior data scientist. Research various analytical approaches Recommend and develop mathematical algorithms for related business problems Communicate and direct development teams on implementation of statistical models Interface with Business users and gather feedback on delivered analytical data. Deploy solutions on to big data platforms Functional Responsibilities: Specific tasks include but are not limited to: Work on one of following initiatives within Predictive Client Analytics group: RFM recommendations, CCAR and other projects TBD Validation of analytical approaches produced by vendor and 3rd party consulting teams Developing data validation methods Required Skills: Technical / Analytical Skills: Excellent understanding and experience with application of machine learning concepts and techniques (linear/logistic regression, clustering, classification, PCA, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques etc.) Experience with regression techniques for modeling the relationship between an output variable and several input variables Experience with Big Data technologies Experience with visualization tools like Tableau Experience creating interface specification documents, attribute mapping documents, functional specifications Experience with web scraping Experience with Text Matching applications Nice to have: Understanding of regulatory guidelines (CCAR, Basel) around Model Risk Management Working knowledge of various Fixed Income and Equities products, for example Derivatives, FX and Cash Equities Essential Skills Strong verbal and written communication skills Strong research skills Python, R, SQL, Hive, Spark Statistical analysis: To understand and work around possible limitations in models Being able to develop hypothesis and test the Hypothesis with careful experiments Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas Should have experience with time series modeling Should have experience with optimization approaches Familiarity with the Big Data Ecosystem tools: Hadoop, Hive, Impala, Mahout, Spark(Spark SQL, MLLib),Hbase and be comfortable with the using the tools Strong experience in data manipulation using SQL on Hive/Impala or other Databases Experience in developing and deploying model with Mahout, Spark MLLib is preferable. Must be proficient in programming either R/Python/Scala. Should have experience in Financial services industry -Capital market would be preferable Should have exposure to Data Visualization tools: Tableu(Preferable)/Qlickview/Excel Additional Information All your information will be kept confidential according to EEO guidelines.

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

Senior Data Engineer - NIKE RETAIL SERVICES INC.- Memphis, TN. Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology. Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes. Evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing. Translate product backlog items into engineering designs and logical units of work. Analyze data for the purpose of designing scalable solutions. Define and apply appropriate data acquisition and consumption strategies for given technical scenarios. Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem. Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns. Implement complex automated routines using workflow orchestration tools. Anticipate, identify and tackle issues concerning data management to improve data quality. Build and incorporate automated unit tests and participate in integration testing efforts. Telecommuting is available only in AR, MS, and TN. Must have a Master's degree in Computer Science, Computer Engineering or Applied Computer Science and 2 years of experience in the job offered or a computer-related occupation. Experience must include: • Snowflake • AWS Native Services • Oracle • DB2 • MS SQL Server • MS SSIS • Attunity • Apache Airflow • Python • Confluence • Tableau • GitHub • DataBricks • Jenkins Apply at ******************** (Job# R-70331) #LI-DNI We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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

Human Capital Our Human Capital practice is at the forefront of transforming the nature of work. As converging forces reshape industries, our team uniquely addresses the complexities of work, workforce, and workplace dynamics. We leverage sector-specific insights and cross-domain perspectives to help organizations tackle their most challenging workforce issues and align talent strategies with their strategic visions. Our practice is renowned for making work better for humans and humans better at work. Be part of this exciting era of change and join us on this transformative journey. The Team Insights, Innovation, and Operate Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value Recruiting for this role ends on 4/3/26. Work you'll do As a Consultative Services Life Actuary Manager in Deloitte's Human Capital group, you will bring unique actuarial, analytical, and data sciences perspective in a management consulting environment. Selected job functions include leading medium-sized teams in the following activities: + Proactively follow current market trends across life insurance and annuity products, markets and regulations; anticipate future client needs and prepare accordingly + Redesign and modernize core business functions for life insurance clients, including new business and underwriting operations, product development, financial reporting, modeling, and related functions + Support deployment of modern-day tools, technologies, data sources, & analytics in such modernization initiatives, to achieve objectives such as improved stakeholder experience, reduced costs, and more actionable or insightful results + Participate in teams to identify, design, and deploy proprietary models, algorithms, data sets, or other assets or project accelerators + Provide support in developing internal and external eminence, research, and solution development + Provide subject matter expertise to consulting teams to facilitate the integration of actuarial with data science, technology, underwriting, distribution, finance, and other functions + Actively support the sales process with other senior leaders + Assist the Deloitte Audit Function, a separate business unit at Deloitte, providing professional actuarial assurance over the material accuracy of selected actuarial balances for selected attest clients + Serve as a role model advocate for recruiting, training, people development, and overall strategic planning for the practice. Qualifications Required: + Bachelor's degree + 6+ years of Life Actuary experience + Successfully passed 5 actuarial exams + Limited immigration sponsorship may be available + Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: The ideal candidate will have a meaningful set of knowledge and experience across a subset of the following dimensions for individual life insurance and annuities: + 6+ years of experience in product development, including product design, pricing, filing and implementation, ideally across multiple distribution channels + 6+ years of experience developing experience studies for core life actuarial assumptions, such as lapse, mortality, expenses, etc. + 6+ years of experience in assumption setting for multiple purposes spanning pricing, forecasting, financial reporting and /or embedded value + 6+ years of experience creating actuarial projections models for multiple purposes spanning pricing, financial planning, ALM, and financial reporting + 6+ years of experience in financial reporting across a subset of the relevant accounting methodologies (statutory, US GAAP, IFRS, tax) for a subset of the full range of individual life insurance and annuity products + 4+ years leading medium to large sized teams + 4+ years of working with mergers and acquisitions, including understanding of purchase accounting The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 - $253,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Possible Locations: Atlanta, Austin, Baltimore, Birmingham, Boise, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Davenport, Dayton, Denver, Des Moines, Detroit, Fort Worth, Fresno, Grand Rapids, Hartford, Hermitage, Houston, Huntsville, Indianapolis, Jacksonville, Jericho, Jersey City, Kansas City, Las Vegas, Los Angeles, Louisville, McLean, Memphis, Miami, Midland, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Princeton, Raleigh, Richmond, Rochester, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tallahassee, Tampa, Tempe, Tulsa, Washington DC. Information for applicants with a need for accommodation: ************************************************************************************************************ For more information about Consultative Services and Human Capital, visit our landing page at: ******************************************************************************************** #HCFY26 #IIOFY26 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.