Position Summary...

We are looking for a Principal Data Scientist to drive data-informed strategy and innovation across Walmart’s eCommerce ecosystem. In this role, you will design scalable data science strategies, develop impactful features, simulate business scenarios, and translate analytical insights into strategic decisions. You will work closely with product, engineering, and business teams to optimize customer experience, personalization, and AI-driven commerce initiatives.

What you'll do...

About Team

Who We Are: A strategy and analytics team driving Walmart’s eCommerce growth by blending business insight, advanced data science, and competitive benchmarking.

What We Do: We analyze markets, customers, and competitors; develop actionable insights; and translate them into strategic initiatives that drive customer loyalty, business performance, and market leadership.

Why It Matters: Our strategies enable Walmart to deliver the right value, convenience, and innovation assuring we stay ahead in a rapidly evolving digital commerce landscape.

What you'll do:

• Design Data Science Strategies:

Develop analytical frameworks and models that shape decision-making across customer behavior modeling, catalog enrichment, search and ads integration, recommendations, payments, and agentic commerce.

• Feature Development and Impact Simulation:

Identify, design, and evaluate high-impact features. Simulate large-scale customer and business outcomes to assess trade-offs and optimize performance metrics.

• Optimization and Experimentation:

Apply optimization, causal inference, and advanced statistical techniques to improve personalization, ranking, pricing, and recommendation accuracy. Design experiments and measure impact rigorously.

• Data Exploration and Insight Generation:

Deeply analyze customer and operational data to uncover actionable insights that drive strategy, growth, and efficiency across the eCommerce journey.

• Cross-Functional Collaboration:

Partner with product managers, engineers, and strategy leaders to ensure analytical solutions align with business priorities and drive measurable results.

• Thought Leadership:

Lead strategic discussions on how data and AI can transform eCommerce. Influence roadmaps and establish best practices for data-driven decision-making across teams.

What you'll bring: 

• Education & Experience:

• M.S. or Ph.D. in Computer Science, Statistics, Operations Research, Applied Mathematics, or a related quantitative discipline.
• 8+ years of experience in data science, analytics, or optimization within eCommerce, retail, or large-scale digital platforms.

• Technical Expertise:

• Proficiency in SQL and Python for data analysis, modeling, and feature development.
• Strong foundation in statistical analysis, optimization, and machine learning methods.
• Experience working with large-scale datasets and distributed computing tools (e.g. BigQuery).
• Familiarity with techniques like Graph Neural Networks (GNNs), recommender systems, search relevance modeling, and experimentation frameworks.

• Business Acumen:

• Ability to connect analytical findings to business outcomes and quantify impact.
• Skilled at building models and simulations that influence product and strategy decisions.
• Strong storytelling and communication skills to convey insights to senior leadership. 
• Mindset and Leadership:
• Strategic thinker with a bias for action and measurable impact.
• Collaborative leader who thrives in cross-functional environments.
• Curious, data-driven, and committed to shaping the future of AI-powered commerce.

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. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds 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/Chennai] 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, were 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 welcoming 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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...

BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India