(IND) SENIOR, DATA SCIENTIST

Position Summary...

What you'll do...

About the Team: Sam’s Club is a membership warehouse club that delivers value, quality, and innovation to millions of members. Our Merchandising 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.

What You'll Do:

At Sam’s Club, we’re looking for a Senior Data Scientist to join our Merchandising Analytics team and help 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.

• 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.

What You'll Bring:

• 4-8 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

Preferred Qualifications and Experience:

• Professional work experience with Spark and dashboarding.
• Working knowledge and understanding of GenAI and AI solutions.
• Prior experience with Merchandising is a plus

About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.

We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

We’re back to work

Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.

Benefits

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Minimum Qualifications: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.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

Building 10 (sez), Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India