Data Scientist

Position Summary

Invent the Future of Operations:
Design AI systems that reimagine how inventory is managed, products are produced, and associates work.

Advance GenAI & Agentic AI:
Scale AI agents capable of reasoning, orchestrating tasks, and dynamically adjusting to real-world signals.

Drive Enterprise-Scale Impact:
Deliver AI solutions that create value across the chain, improving efficiency, reducing waste, and unlocking growth.

Build Reusable Innovation:
Develop frameworks that can be leveraged enterprise-wide, fueling AI innovation beyond the club environment.

Lead with Responsibility:
Ensure solutions are safe, explainable, and aligned with ethical AI practices.

Inspire & Mentor:
Shape the next generation of data scientists through technical leadership, and thought partnership.

About the team: At Sam’s Club Applied AI Labs, we’re shaping the next phase of in-club operations
: where associates are guided by intelligent agents, decisions are informed by live signals, and every member interaction is enhanced through AI innovation
.

The In-Club AI team is the engine behind this transformation. We’re building the future of retail operations with next-generation machine learning, GenAI, and agentic AI systems that don’t just predict outcomes—they adapt, reason, and act in real time. Our mission is ambitious: to redefine how clubs run, scale solutions across the enterprise, and create reusable AI that powers innovation far beyond the sales floor.

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, test, and validate predictive models using advanced statistical and machine learning techniques.
• Create clear and impactful data visualizations to communicate insights to stakeholders effectively.
• Collaborate with cross-functional teams to translate business problems into data-driven solutions.
• Deploy and monitor models in production, ensuring scalability and performance.
• Mentor team members on analytical methods, coding best practices, and model development.

• AI Expertise
  :
  Strong background in machine learning, statistical modeling, deep learning, and causal inference.
• GenAI & Agents
  :
  Hands‑on experience with LLMs, prompt engineering, fine‑tuning, and agent orchestration frameworks.
• Systems Thinking
  :
  Proven ability to design and scale ML pipelines in cloud environments.
• Engineering Excellence
  :
  Proficiency in Python, SQL, modern ML frameworks, and distributed data platforms.
• Innovation Mindset
  :
  Passion for pushing the boundaries of AI—patents, publications, or unique applications are a plus.
• Leadership
  :
  Demonstrated ability to mentor, influence cross-functional partners, and set the technical bar for a team.
• Preferred
  :
  Background in applying AI to large‑scale operational or retail environments.

Health benefits include medical, vision, and dental coverage; 401(k) plan; paid time off (including sick leave, parental leave, family care leave, bereavement, jury duty, and voting); disability insurance; company‑discounts; and other benefits such as short‑term and long‑term disability coverage, military leave pay, adoption and surrogacy expense reimbursement.

The annual salary range for this position is $ - $. Additional compensation includes annual or quarterly performance bonuses and stock options.

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years’ experience in an analytics related field.
• OR Master’s degree in the same fields and 2 years’ experience.
• OR 6 years’ experience in an analytics or related field.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.

Successful completion of assessments in Python, Spark, Scala, or R; experience with open-source frameworks such as scikit‑learn, Tensor Flow, PyTorch.

Background in creating inclusive digital experiences, knowledge of WCAG 2.2 AA standards, and integration of digital accessibility into products.

2101 Se Simple Savings Dr, Bentonville, AR , United States of America

Walmart maintains a drug‑free workplace and has a zero tolerance policy regarding the use of illegal drugs and alcohol on the job.