About the team - Sam's Membership Growth Strategy team accelerates acquisition, engagement, and retention for Sam's Club Members. We operate at the intersection of product, marketing, and strategy — using advanced analytics, experimentation, and data science to unlock member-centric growth across the business.
What You'll Do
As a Staff Data Scientist, you will partner deeply across Membership, Product, Marketing, and Operations to surface insights, build predictive frameworks, and influence decisions that shape the future of Membership at Sam's Club.
- Deliver Impactful Analytical Insights
Lead complex, ambiguous analyses across behavioral, transactional, and digital datasets to uncover step-change growth opportunities
Define key business questions and analytical approaches for acquisition, engagement, retention, and monetization
Identify systemic friction points across the membership lifecycle and drive cross-functional alignment on solutions
Establish best practices and reusable analytical frameworks for the team
- Build Advanced Analytical & Predictive Models
Architect and guide development of advanced models (e.g., acquisition propensity, churn risk, CLV, benefit adoption) at scale
Design robust customer segmentation and personalization frameworks that influence product and marketing strategy
Ensure models are production-ready by collaborating with engineering on scalability, monitoring, and integration
Set modeling standards, review approaches, and mentor team members on advanced techniques
- Experimentation & Causal Measurement
Define experimentation strategy and measurement frameworks across product and marketing initiatives
Lead design and interpretation of complex experiments, including multi-variate testing and quasi-experimental methods
Apply advanced causal inference techniques (e.g., diff-in-diff, uplift modeling, MMM) to drive decision-making at scale
Standardize experimentation practices and elevate statistical rigor across the organization
- Influence Membership & Business Strategy
Translate complex analyses into clear, actionable narratives for senior and executive stakeholders
Shape Membership strategy through forecasting, opportunity sizing, and scenario modeling
Proactively identify new growth levers and influence roadmap prioritization
Act as a strategic advisor to cross-functional leaders, driving alignment on high-impact initiatives
- Collaborate Across the Sam's & Walmart Ecosystem
Lead cross-functional initiatives spanning Membership, Product, Marketing, Finance, Operations, and Walmart's broader Data & Analytics org
Partner with Staff and Principal Data Scientists to define long-term analytics vision and technical roadmap
Mentor and develop junior and senior data scientists, raising the overall capability of the team
Drive adoption of best practices in data science, experimentation, and decision-making across the organization
What You'll bring
Technical Skills
8-12 years of experience in data science, analytics, or related fields
Deep expertise in SQL and Python (pandas, scikit-learn, statsmodels) and experience working with large-scale datasets
Proven track record of building and scaling predictive models in production environments
Advanced understanding of experimentation, causal inference, and statistical modeling
Experience with cloud data ecosystems (e.g., BigQuery, Snowflake, Spark) and production-grade data workflows
Business & Strategic Skills
Strong ability to define and structure ambiguous, high-impact business problems into scalable analytical solutions
Deep experience in growth, marketing, product analytics, or membership/subscription models
Exceptional stakeholder management and executive communication skills
Proven ability to influence strategy and drive alignment across senior cross-functional partners without formal authority
Track record of leading initiatives end-to-end and mentoring others in high-performing teams
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 office
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 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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 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
