Position Summary...
What you'll do...
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 Senior 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
- Analyze behavioural, transactional, and digital data to uncover growth opportunities
- Conduct deep-dives into acquisition performance, benefit adoption, churn risk, and retention drivers
- Identify friction points throughout the membership lifecycle and recommend optimizations
- Build Advanced Analytical & Predictive Models
- Create predictive models such as acquisition propensity, churn risk, CLV, and benefit adoption
- Build customer segmentation frameworks to support targeted marketing and personalized experiences
- Partner with engineering and data teams to ensure models are usable and integrated into workflows (not full deployment ownership)
- Experimentation & Causal Measurement
- Design, analyze, and interpret A/B tests across product and marketing initiatives
- Apply causal inference techniques (e.g., diff-in-diff, uplift modeling, MMM) to measure impact
- Translate test results into actionable recommendations for senior stakeholders
- Influence Membership & Business Strategy
- Present insights and recommendations clearly to cross-functional teams
- Develop analytical narratives that shape Membership strategy and roadmap decisions
- Support planning cycles with forecasting, opportunity sizing, and scenario modelling
- Collaborate Across the Sam's & Walmart Ecosystem
- Work closely with cross-functional partners across Membership, Product, Marketing, Finance, Operations, and Walmart's broader Data & Analytics org.
- Partner with Staff and Principal Data Scientists to align analytics to the long-term membership growth vision
What You'll Bring
Technical Skills
- 4-8 years of experience in data science, analytics, or related fields
- Strong SQL and Python skills (pandas, scikit-learn, statsmodels)
- Hands-on experience with predictive modelling and working with large datasets
- Strong understanding of A/B testing, causal inference, and statistical analysis
- Experience with cloud data environments (e.g., BigQuery, Snowflake, Spark)
Business & Strategic Skills
- Ability to structure ambiguous business problems into analytical solutions
- Experience with growth, marketing, product analytics, or membership/subscription models
- Strong communication and stakeholder management; can translate data into decisions
- Comfort influencing cross-functional partners without formal authority
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.
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 isand feelsincluded, 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...
G, 1, 3, 4, 5 Floor, Building 11, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2365637
