Senior Data Scientist

Walmart

Senior Data Scientist analyzing data to enhance membership growth strategies at Walmart. Collaborating across departments to extract insights and support strategic decisions.

Posted 6/6/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

BigQueryCloudPandasPythonScikit-LearnSparkSQL

About the role

Key responsibilities & impact

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
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
Design, analyze, and interpret A/B tests across product and marketing initiatives
Apply causal inference techniques to measure impact
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
Work closely with cross-functional partners across Membership, Product, Marketing, Finance, Operations, and Walmart’s broader Data & Analytics org.

Requirements

What you’ll need

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)
Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field OR Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field OR 5 years' experience in an analytics or related field.

Benefits

Comp & perks

incentive awards for performance
maternity and parental leave
PTO
health benefits
best-in-class benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonpredictive modelingA/B testingcausal inferencestatistical analysisdata analysiscustomer segmentationforecastingscenario modeling

Soft Skills

analytical thinkingcommunicationcollaborationproblem-solvingpresentation skills