SENIOR, DATA SCIENTIST

Position Summary...

Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

What you'll do...

About the Team:

Sam’s Data & Insights 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 at Sam’s Club, you will play a pivotal role in enabling data-driven decision-making by designing, executing, and evaluating experiments that shape product strategy and business outcomes. Working at the intersection of product, engineering, and business, you will develop rigorous experimentation frameworks, define meaningful success metrics, and generate actionable insights that improve member experience, digital engagement, merchandising, and operational performance.

• Design, execute, and analyze online controlled experiments (A/B, multivariate, switchback, and quasi-experiments) to evaluate product features and business initiatives.
• Build experimentation frameworks, define success metrics, guardrail metrics, and statistical methodologies to ensure reliable decision-making.
• Apply causal inference techniques to estimate business impact when randomized experiments are not feasible.
• Partner with Product Managers, Engineers, and Business stakeholders to formulate hypotheses, define experiment success criteria, and translate business questions into measurable outcomes.
• Perform statistical analyses using methods such as hypothesis testing, power analysis, regression, Bayesian inference, and sequential testing.
• Develop reusable experimentation tools, dashboards, and analytical workflows to improve experimentation efficiency and governance.
• Communicate experiment results, trade-offs, and recommendations to technical and business audiences, influencing product and business strategy.

What You'll Bring:

• Strong statistical intuition and scientific thinking.
• Ability to independently lead complex experimentation programs from design through recommendation.
• Excellent stakeholder management and communication skills.
• Curiosity, ownership, and a passion for using data to drive product innovation and business outcomes.
• A collaborative mindset with the ability to mentor peers and elevate experimentation best practices across the organization.

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, Data Science, Operations Research, or a related quantitative field.
• 4–8 years of experience in data science, product analytics, or experimentation.
• Strong expertise in experimental design, statistical inference, causal inference, and hypothesis testing.
• Advanced programming skills in Python and SQL.
• Experience with experimentation platforms and statistical analysis libraries such as SciPy, Statsmodels, Pandas, Scikit-learn, or equivalent.
• Experience working with large-scale datasets using Spark, Hive, or Databricks.
• Strong understanding of metrics development, sample size estimation, variance reduction techniques, and experiment diagnostics.
• Excellent communication skills with the ability to influence cross-functional stakeholders.

• Experience in retail, e-commerce, membership, or consumer-facing digital products.
• Knowledge of sequential testing, Bayesian experimentation, uplift modeling, and heterogeneous treatment effect estimation.
• Familiarity with product analytics tools and experimentation platforms.
• Exposure to machine learning models for experimentation, personalization, and decision optimization.
• Experience with cloud platforms (Azure, AWS, or GCP).

Technical Skills

• Programming: Python, SQL
• Statistics: Experimental Design, Hypothesis Testing, Bayesian Statistics, Causal Inference, Power Analysis
• Analytics: Regression, Time Series, Metric Design, Product Analytics
• Big Data: Spark, Hive, Databricks
• Visualization: Tableau, Power BI
• Cloud: GCP

Business & Strategic Skills

• Strong business acumen with the ability to connect experimentation outcomes to key business metrics such as member engagement, conversion, retention, revenue, and operational efficiency.
• Ability to identify high-impact business opportunities and prioritize experimentation based on customer and business value.
• Experience partnering with Product, Business, Engineering, and Analytics teams to define measurable objectives and success metrics.
• Strong problem-framing skills, translating ambiguous business questions into testable hypotheses and analytical approaches.
• Ability to influence product strategy and decision-making through clear, data-driven recommendations.
• Excellent stakeholder management and communication skills, with the ability to present complex findings to both technical and executive audiences.
• Experience balancing statistical rigor with business speed, making practical recommendations under uncertainty.
• Ownership mindset with the ability to independently lead experimentation initiatives from ideation to business impact.

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