(USA) Principal, Data Scientist

Reference: R-2553030Posted: 2026-09-04Location: SUNNYVALE, CA, United States; BENTONVILLE, ARSalary: $110000 - $220000/yearType: Full time / Regular/PermanentCompany: WalmartBusiness Segment: Home OfficeRole summary: As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions to address complex business challenges. This role requires deep expertise in statistical analysis, coding, and data strategy to translate business needs into impactful data-driven insights. You will guide teams in designing scalable solutions, ensuring model accuracy, and driving continuous innovation. Collaborating across functions, you will influence decision-making through compelling data visualization and storytelling, while mentoring associates to elevate technical and business acumen within a dynamic, results-oriented environment. 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. They apply advanced data strategies and machine learning techniques to 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 that support Walmart’s commitment to reliable and efficient last mile delivery services. What you'll do:Develop, test, and deploy advanced data science solutions using programming languages such as Python and SQL to address complex business challenges.Analyze business problems to identify root causes and recommend data-driven approaches aligned with strategic objectives.Identify, assess, and validate data sources ensuring quality and relevance for modeling and analytics.Design, build, and validate predictive and prescriptive models leveraging machine learning, deep learning, and statistical techniques.Collaborate with stakeholders to translate business requirements into actionable data strategies and measurable outcomes.Mentor team members on analytical methods, model development, and data visualization best practices.Monitor model performance and implement lifecycle management to ensure sustained impact and scalability.What you'll bring:Extensive experience in developing and deploying machine learning and deep learning models using Python and related tools.Proficiency in statistical analysis, exploratory data analysis, and advanced modeling techniques including reinforcement learning and solution architecture.Strong knowledge of data sourcing, quality assessment, and data ecosystem management to ensure fit-for-purpose data utilization.Expertise in model validation, tuning, deployment, and lifecycle management to maintain robust and scalable solutions.Ability to translate complex business problems into data-driven strategies and measurable outcomes.Experience mentoring teams and guiding technical and business insights to drive impactful results. 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field"]Preferred qualifications["Publications or active peer reviewer in related journals or conference", "Data science, machine learning, optimization models", "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)"]