Position Summary...

What you'll do...

About Team

Walmart’s AI & Data organization is building platform capabilities and enterprise services that accelerate the journey from idea to AI-powered solution safely and cost-effectively for builders across the enterprise. This includes foundational data platforms, ML infrastructure, AI productization, governance, and Associates builder solutions that enable millions of associates, and data practitioners.

We are looking for a Data Scientist III who can roll up their sleeves and help build and ship the GenAI, agentic AI, and ML capabilities that power our platform capabilities, AI productization, and Associates builder solutions. You will partner with senior data scientists, ML engineers, and product teams to take ideas from prototype to production — building components of GenAI features and deploying ML models, and contributing to the safe, cost-effective AI solutions that empower millions of Walmart associates and data practitioners.

What you will do

• Translate and co-own business problems within the data science discipline into data-driven or mathematical solutions; identify appropriate methods and tools to be leveraged, and use concrete examples and use cases to demonstrate how each approach addresses the business need
• Build components of production GenAI features — including Retrieval-Augmented Generation (RAG) pipelines, embedding generation, prompt templates, tool integrations, and evaluation harnesses — using frameworks such as LangChain, LangGraph, or equivalents
• Implement and maintain guardrails, evaluation metrics, and monitoring for LLM-based features (hallucination checks, prompt-injection mitigations, drift detection) under the guidance of senior data scientists
• Develop and ship real-time and batch ML/GenAI services, contributing to MLOps practices including CI/CD for models, automated retraining, and reproducible experimentation
• Rapidly prototype POCs and MVPs to validate AI/ML and GenAI hypotheses, and iterate based on user, stakeholder, and metrics-driven feedback
• Select analytical modeling techniques most suitable for structured, complex data and develop custom analytical models; conduct exploratory data analysis (basic statistical analysis, hypothesis testing, statistical inference); define and refine features based on model responses; design and run experiments and trend/cluster analyses to deliver actionable business insights
• Support model fit testing and statistical inference to evaluate model performance, and assess the impact of variables and features on accuracy and robustness
• Support efforts to ensure that analytical models and techniques can be deployed into production with the appropriate scalability, sustainability, and monitoring
• Write production-quality code using the team's recommended languages and frameworks to deliver solution and application features driven by business, technical, and data requirements; test code using the recommended approach
• Share learnings, experiment results, and post-mortems with the team through internal docs, demos, and brown-bag sessions

What you will bring

• 3+ years of professional experience building and shipping ML, AI, or GenAI systems in production
• Bachelor's or Master's degree in computer science, engineering, statistics, mathematics, economics, or a related quantitative field
• Hands-on experience with Generative AI fundamentals — prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG)
• Familiarity with at least one agentic AI / LLM orchestration framework (LangChain, LangGraph, LlamaIndex, or equivalent), including basic tool-use and multi-step workflows
• Awareness of LLM evaluation techniques, common failure modes (hallucination, prompt injection, drift), and basic mitigation strategies (guardrails, validation, human-in-the-loop)
• Demonstrated experience taking at least one ML or GenAI model from prototype to production (real-time inference, batch scoring, or both)
• Solid foundational knowledge of statistics, classical machine learning, and deep learning, with hands-on use of TensorFlow, PyTorch, scikit-learn, or equivalent frameworks
• Strong programming proficiency in Python, with the ability to write clean, well-tested, and maintainable production code
• Working familiarity with model serving patterns, latency/throughput tradeoffs, and basic monitoring of ML systems in production
• Familiarity with CI/CD pipelines, Git, containerization (Docker), and basic Kubernetes concepts
• Working knowledge of SQL and large-scale data processing tools such as Spark, Hive, BigQuery, or equivalents
• Ability to break down ambiguous problems into clear, testable hypotheses and experiments
• A collaborative, team-first mindset; comfortable giving and receiving feedback in code and design reviews
• Strong written and verbal communication skills, with the ability to explain technical concepts to varied audiences
• A growth mindset, intellectual curiosity, and commitment to continuous learning in AI/ML and GenAI

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.

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.

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.

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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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