(USA) Staff, Data Scientist

Reference: R-2565463Posted: 2026-07-08Location: SUNNYVALE, CA, United States; BENTONVILLE, ARSalary: $110000 - $220000/yearType: Full time / Regular/PermanentCompany: WalmartBusiness Segment: Home OfficeRole summary: The Staff Data Scientist will leverage advanced analytical techniques and data science methodologies to identify, develop, and deploy predictive models that drive business insights and strategic decisions. This role requires expertise in data sourcing, quality assessment, and visualization to translate complex data into actionable recommendations. The successful candidate will collaborate cross-functionally to align data strategies with business objectives, ensuring scalable and robust model implementation. Strong proficiency in programming, statistical modeling, and communication is essential to support continuous improvement and innovation within Walmart’s data ecosystem. About the team: The team leads Applied Science initiatives for Last Mile Delivery at Walmart, focusing on optimizing routing, trip pricing, driver trip matching, delivery commitments, and capacity management. Utilizing advanced data strategies and machine learning techniques, they ensure platform trust and safety. Collaborating with stakeholders, the team develops innovative solutions that enhance operational efficiency and customer satisfaction. Their expertise in predictive analytics, data strategy, and machine learning drives scalable, data-driven outcomes supporting Walmart’s commitment to reliable and efficient last mile delivery services. What you'll do:Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.Develop and implement data strategies aligned with business objectives to unlock value from data assets.Design, build, and validate predictive models using advanced statistical and machine learning techniques.Create clear and impactful data visualizations to communicate insights effectively to stakeholders.Translate complex business problems into data-driven solutions and collaborate with cross-functional teams.Deploy and monitor models in production, ensuring scalability and performance.Write, test, and maintain code to support analytics solutions and model development.What you'll bring:Proven expertise in predictive analytics, machine learning algorithms, and data science methodologies.Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.Strong knowledge of data strategy, including data quality standards, governance, and scalable data storage solutions.Experience in model assessment, validation, and deployment using statistical and machine learning techniques.Ability to translate complex business problems into data-driven solutions with clear communication to stakeholders.Familiarity with database technologies including SQL and NoSQL for effective data extraction and quality checks.Demonstrated capability to mentor team members and guide advanced analytical modeling efforts. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see . Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart. Sunnyvale, California US-11656: The annual salary range for this position is $143,000.00 - $286,000.00 Bentonville, Arkansas US-09158: The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockMinimum qualifications["Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field"]Preferred qualifications["Successful completion of one or more assessments in Python, Spark, Scala, or R", "We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.", "PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics", "Using open source frameworks (for example, scikit learn, tensorflow, torch)", "Data science, machine learning, optimization models"]