(IND) DISTINGUISHED, DATA SCIENTIST

Position Summary...

Walmart is seeking a Distinguished Data Scientist to shape the AI/ML vision for Global Governance across Security, Compliance, Privacy, Legal, Product Safety, Trade Compliance, and related domains. This senior individual contributor will combine deep expertise in machine learning, agentic AI, advanced analytics, and responsible AI with enterprise-level technical leadership. Partnering across Business, Product, Engineering, and Data Science, this leader will architect scalable AI solutions, establish reusable patterns and standards, mentor senior technical talent, and help transform complex governance workflows into intelligent, proactive, measurable capabilities while advancing an AI-first approach to both our products and how we build them.

What you'll do...

About the Team

Global Governance Technology builds scalable technology and AI capabilities that help protect Walmart, its associates, customers, and businesses across critical governance and risk domains. Our teams work across Security, Compliance,  Privacy, Legal, Ethics, Product Safety, and Global Trade. We solve complex, high-impact problems where trust, explain ability, reliability, governance, and human oversight matter. We are applying machine learning, GenAI, agentic AI, computer vision, graph intelligence, optimization, and automation to move from reactive workflows toward more predictive, proactive, and intelligent decision-making at Walmart scale

What You’ll Do

• Define AI/ML strategy across Global Governance and lead development of production-scale AI solutions spanning risk intelligence, investigations, document intelligence, anomaly detection, computer vision, graph analytics, optimization, and agentic AI.
• Architect reusable AI platforms and patterns, establish evaluation and Responsible AI standards, and influence build-vs-buy and long-term technology decisions.
• Partner closely with Business, Product, Engineering, and Data Science to move from problem framing through deployment and measurable outcomes.
• Mentor senior scientists and engineers, raise technical rigor, and drive best practices across experimentation, model validation, MLOps, observability, explain ability, and enterprise AI governance.

What You’ll Bring

• Deep expertise in machine learning, applied statistics, optimization, and production AI systems, with hands-on experience in GenAI and agentic architectures including RAG, tool use, orchestration, evaluation, and human-in-the-loop workflows.
• Strong knowledge in areas such as NLP, computer vision, graph ML, anomaly detection, causal inference, forecasting, or optimization is highly valued.
• You should bring strong engineering judgment, experience with large-scale data and ML platforms, and a track record of influencing senior technical and business leaders.
• Experience mentoring senior talent and establishing reusable technical standards or platforms is essential.

Preferred Qualifications

• PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Operations Research, Econometrics, or a related field.
• Experience applying AI in Security, Compliance,  Investigations, Legal, Privacy, Safety, or other regulated environments is highly desirable.
• Experience building reusable AI platforms or capabilities used across multiple domains is preferred, along with exposure to responsible AI, model risk, explain ability, and governance.
• Strong publication, patent, open-source, or technical thought-leadership credentials and experience operating across globally distributed teams are also valued.

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 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 6 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 4 years' experience in an analytics related field. Option 3: 8 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, Kadubeesanahalli Village, Varthur Hobli , India