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 is focused 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 to generate actionable business insights. Focus 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." You will build the 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 and demonstrated experience 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 (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 and a passion for solving ambiguous problems and continuous learning.

• Professional work experience with Spark and Dashboards.
• Working knowledge and understanding of GenAI and AI solutions.
• Data science, machine learning, and optimization models experience.
• Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Experience using open‑source frameworks (e.g., scikit‑learn, Tensor Flow, PyTorch).
• Background in creating inclusive digital experiences and knowledge of WCAG 2.2 AA standards, assistive technologies, and integrating digital accessibility.
• Knowledge of accessibility best practices to support an inclusive culture.

- 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,…