(USA) Distinguished, Data Scientist

Position Summary

What you'll do...Role summary: As a Distinguished Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions that drive strategic business decisions. This role requires deep expertise in data strategy, predictive analytics, and visualization to translate complex data into actionable insights. You will collaborate across functions to address multifaceted business challenges, mentor teams, and ensure scalable, high-impact solutions. Your work will directly influence operational efficiency and innovation, supporting Walmart’s commitment to data-driven excellence and continuous improvement.

About the team

The Customer Engagement Services Technology team develops advanced solutions impacting millions worldwide. Comprising software engineers, data scientists, and machine learning experts, the team focuses on innovative Generative AI applications within complex enterprise environments. As part of Walmart Global Tech’s Enterprise Business Systems, it collaborates closely with product, business, and UX partners to deliver measurable business value. Emphasizing scalable, secure, and maintainable software design, the team drives continuous improvement and operational excellence to support Walmart’s mission of helping customers save money and live better.

What you'll do

• Analyze complex business problems using advanced data analytics and machine learning techniques to deliver actionable insights.
• Develop and implement predictive models and data-driven strategies aligned with business objectives to optimize outcomes.
• Design and deploy scalable data solutions, ensuring data quality, governance, and accessibility across platforms.
• Create compelling data visualizations and narratives to communicate findings effectively to stakeholders.
• Lead model validation, testing, and monitoring to ensure accuracy, robustness, and sustainability of analytical solutions.
• Collaborate cross-functionally to translate business requirements into technical strategies and measurable deliverables.
• Mentor team members on analytical best practices and emerging technologies to foster continuous improvement.

What you’ll bring

• Extensive experience in data analysis, machine learning, and predictive analytics to develop innovative solutions.
• Proficiency in advanced data visualization techniques and tools to communicate complex insights effectively.
• Strong understanding of business strategies and the ability to translate business requirements into data-driven initiatives.
• Expertise in analytical modeling, including model assessment, validation, deployment, and scaling.
• Skilled in coding languages such as Python, SQL, and R for data manipulation and model development.
• Ability to mentor teams and collaborate cross-functionally to drive impactful business outcomes.

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’ll 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.

Bellevue, Washington US-11663: The annual salary range for this position is $156,000.00 - $312,000.00

Sunnyvale, California US-11349: The annual salary range for this position is $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include:

• Stock

Minimum Qualifications

Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field.

Preferred Qualifications

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location

10900 Ne 4th St, Bellevue, WA 98004, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.