Senior, Data Scientist - Merchandising Analytics; Member and Insights

Position Summary

At Sam’s Club, we’re member obsessed. As a Senior Data Scientist - Merchandising Analytics, you will unlock the power of data to drive smarter assortment, pricing and inventory decisions. You’ll partner closely with merchants to design and deploy data‑driven solutions that deliver measurable impact — from improving sales and margin to enhancing the member shopping experience.

Sam’s Club is a premier membership warehouse club that delivers value, quality, and innovation to millions of members. Our Merchandising Analytics team focuses on leveraging data and AI to unlock growth opportunities and transform how we manage assortment, pricing and inventory. Working closely with merchants and cross‑functional teams, we identify high‑impact opportunities and deliver data‑driven solutions that optimize item selection, improve margin, and elevate the member experience.

• Analyze complex datasets to uncover trends, patterns, and opportunities.
• Translate complex business challenges into analytical solutions; collaborate with cross‑functional teams to define requirements, identify opportunities, and deliver scalable, data‑driven solutions.
• Build and deploy scalable data products and models.
• Design and develop state‑of‑the‑art algorithms, AI/ML models, and optimization techniques that generate actionable business insights focusing on interpretability, scalability, and strategic impact.
• Apply causal inference techniques to traverse the data and pinpoint the true root cause (RCA).
• Bridge the gap between “insight” and “action” by building algorithmic logic that evaluates the root cause and recommends the optimal intervention.
• Apply foundational machine learning techniques and a working understanding of generative AI to solve complex, ambiguous problems creatively and effectively.
• Communicate clearly and confidently with both technical and non‑technical audiences, presenting problems, hypotheses, and solutions with clarity and business relevance.

• 5+ years of hands‑on professional work experience as a data scientist.
• Proven track record of translating complex business needs into data‑driven solutions that deliver measurable impact and align with strategic objectives.
• Strong knowledge of data engineering, including data pipelines, data quality, and database technologies such as SQL and No
  
  SQL.
• Extensive experience in data science, machine learning, and predictive modeling with proficiency in Python and PySpark programming.
• Strong understanding of causal frameworks, forecasting methodologies, and anomaly detection techniques.
• Proficiency in data visualization tools, such as Power BI, and techniques to effectively communicate insights to stakeholders.
• Ability to communicate complex ideas clearly to technical and non‑technical audiences.
• Ability to perform well under pressure, maintain focus, and deliver high‑quality outcomes in a fast‑paced, ambiguous, and dynamic environment.
• A curious mindset, passion for solving ambiguous problems, and continuous learning.

• Professional work experience with Spark and Dashboards.
• Working knowledge and understanding of generative AI and AI solutions.
• Background in creating inclusive digital experiences, knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

• Competitive pay, performance‑based bonus awards, and other benefits such as PTO, parental leave, family care leave, and more.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits include 401(k), stock purchase, and company‑paid life insurance.
• Paid time off benefits including PTO, parental leave, family care leave, bereavement, jury duty, and voting.
• Additional benefits such as short‑term and long‑term disability, company discounts, military leave pay, adoption and surrogacy expense reimbursement.

The annual salary range for this position is $90,000.00 – $. Additional compensation includes annual or quarterly performance bonuses. Certain positions may also include Regional Pay Zone based on location.

2101 Se Simple Savings Dr, Bentonville, AR 72712‑4304, United States of America

Walmart and its subsidiaries are committed to maintaining a drug‑free workplace and have 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.