Senior, Data Scientist - Merchandising Analytics (Member and Insights)

Walmart • Bentonville, AR

5d • $90,000 - $180,000

About The Position

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. About the Team: 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.

Requirements

• 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 NoSQL.
• 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
• 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

• Professional work experience with Spark and Dashboards.
• Working knowledge and understanding of GenAI and AI solutions.
• 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

• 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.

Benefits

• At Sam's Club, 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, 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: Senior
• Number of Employees: 1-10 employees