Senior, Data Scientist - Fulfillment Insights

Walmart • Bentonville, AR

2d • $90,000 - $180,000 • Onsite

About The Position

At Sam’s Club, we are member obsessed, people lead and tech powered. As a Senior Data Scientist on Sam’s Club’s Fulfillment Insights team, you will work on fulfillment strategy and the design and deployment of Agentic and Generative AI solutions that materially improve how orders are fulfilled, delivered, and optimized at enterprise scale. You will build and operationalize LLM-powered agentic systems that translate complex data into faster, smarter business decisions. In this role, success is defined by your ability to turn ambiguous business problems into scalable AI-driven solutions, influence stakeholders through clear storytelling, and deliver measurable improvements in fulfillment speed, efficiency, and cost. You’ll work at the intersection of advanced analytics, AI engineering, and business strategy—partnering closely with product, engineering, and operations leaders while mentoring junior data scientists. What you'll do... What You’ll Do Design, build, and deploy agentic AI systems that extend Sam’s Club’s GenAI capabilities across the E-Commerce Fulfillment ecosystem, including autonomous and multi-agent workflows used by the WMI enterprise. Lead end-to-end data science initiatives, from sourcing and validating complex, multi-domain datasets to deploying production-ready models that drive measurable business outcomes. Develop and operationalize predictive and generative models, leveraging advanced statistical methods, machine learning, and LLMs to improve fulfillment speed, accuracy, and cost efficiency. Translate ambiguous business questions into analytical strategies, using SQL, Python, and cloud-based data platforms to uncover insights that inform executive and operational decision-making. Perform advanced exploratory analysis and experimentation, including A/B testing and causal inference, to validate impact and guide strategic investments. Tell compelling stories with data, creating Power BI dashboards and executive-ready narratives that clearly explain complex findings in plain language. Partner cross-functionally with product, engineering, and operations teams to integrate AI solutions into scalable, production environments. Mentor and elevate junior data scientists, setting best practices for modeling, coding, and analytical rigor while fostering a culture of innovation and continuous learning.

Requirements

• A 4–8-year track record of delivering high-impact data science or analytics solutions in a business environment.
• Advanced SQL expertise, including complex joins (5+ tables), window functions, and ranking functions.
• Strong Python skills, with the ability to write reusable functions and production-quality code.
• Experience with Generative AI, including autonomous and multi-agent workflows.
• Solid foundation in predictive modeling, statistical analysis, A/B testing, and causal inference.
• Proficiency with Power BI for insight generation and executive storytelling.
• Experience working in cloud data environments such as BigQuery, Snowflake, or Spark.
• Comfort operating in business-facing roles, translating technical insights into clear, actionable recommendations.
• Strong storytelling and stakeholder influence skills—able to “speak data” in layman’s terms.
• Ability to structure vague, complex problems into clear analytical and AI-driven solutions.
• Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 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 1 years' experience in an analytics related field.
• Option 3 - 5 years' experience in an analytics or related field.

Nice To Haves

• Demonstrated experience building and applying LLM-based solutions in real-world business contexts.
• Hands-on experience designing or contributing to agentic or autonomous AI systems.
• Data science, machine learning, optimization models
• Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics
• Successful completion of one or more assessments in Python, Spark, Scala, or R
• Using open source frameworks (for example, scikit learn, tensorflow, torch)
• We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
• The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

• Design, build, and deploy agentic AI systems that extend Sam’s Club’s GenAI capabilities across the E-Commerce Fulfillment ecosystem, including autonomous and multi-agent workflows used by the WMI enterprise.
• Lead end-to-end data science initiatives, from sourcing and validating complex, multi-domain datasets to deploying production-ready models that drive measurable business outcomes.
• Develop and operationalize predictive and generative models, leveraging advanced statistical methods, machine learning, and LLMs to improve fulfillment speed, accuracy, and cost efficiency.
• Translate ambiguous business questions into analytical strategies, using SQL, Python, and cloud-based data platforms to uncover insights that inform executive and operational decision-making.
• Perform advanced exploratory analysis and experimentation, including A/B testing and causal inference, to validate impact and guide strategic investments.
• Tell compelling stories with data, creating Power BI dashboards and executive-ready narratives that clearly explain complex findings in plain language.
• Partner cross-functionally with product, engineering, and operations teams to integrate AI solutions into scalable, production environments.
• Mentor and elevate junior data scientists, setting best practices for modeling, coding, and analytical rigor while fostering a culture of innovation and continuous learning.

Benefits

• -Health benefits include medical, vision and dental coverage
• -Financial benefits include 401(k), stock purchase and company-paid life insurance
• -Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices.
• - Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
• Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level