(IND) SENIOR, DATA SCIENTIST

Position Summary...

Walmart is a multi-national, people-led, tech-powered omnichannel retailer with over 2.2M associates.

Associate AI Experience team within the AI & Data pillar is dedicated to empowering field associates, business users, and developers alike with seamless, governed AI embedded into everyday workflows to elevate productivity. We build a unified, personalized, and trusted super-agent ecosystem that transforms how work gets done. By putting intuitive agent creation tools directly into the hands of associates, our organization enables domain experts across the enterprise to seamlessly build, test, evaluate, and deploy their own grounded AI agents—connecting their team's knowledge, automating complex tasks, and driving productivity with built-in governance.

Our team is looking for a Senior Data Scientist to own end-to-end design, development, and operation of production GenAI, agentic AI, and ML systems that accelerate the journey from idea to AI-powered solution across the enterprise. You will architect stateful, reliable, and cost-aware AI experiences on top of our foundational data platforms and ML infrastructure, drive evaluation and trustworthy AI practices, partner closely with product, engineering, and platform teams, and mentor junior data scientists — directly shaping the AI productization and Associates builder solutions that empower millions of Walmart associates and data practitioners.

As part of Walmart Global Tech in India building solutions across global Walmart markets, your designs and AI solutions will have a direct, daily impact on millions of associates. You will be challenged with complex business and technical problems that span multiple countries, massive data scale, and enterprise-wide adoption.

What you'll do...

Walmart is a multi-national, people-led, tech-powered omnichannel retailer with over 2.2M associates.
Associate AI Experience Org is dedicated to empowering field associates, business users, and developers alike with seamless, governed AI embedded into everyday workflows to elevate productivity. We build a unified, personalized, and trusted super-agent ecosystem that transforms how work gets done. By putting intuitive agent creation tools directly into the hands of associates, our organization enables domain experts across the enterprise to seamlessly build, test, evaluate, and deploy their own grounded AI agents—connecting their team's knowledge, automating complex tasks, and driving productivity with built-in governance.

What you'll do:

• Translate and co-own business problems within the data science discipline into data-driven or mathematical solutions; identify appropriate methods and tools, and demonstrate through use cases how each approach addresses the business need
• Own end-to-end design, development, deployment, and operation of production AI/ML and GenAI systems, including agentic AI workflows using LangChain, LangGraph, or equivalents — enabling multi-step reasoning, tool use, planning, and autonomous task execution
• Architect and operate stateful AI systems — conversation state, long-term memory, context persistence, and retrieval strategies — to support reliable, personalized, multi-turn experiences
• Drive evaluation strategy for GenAI and ML systems, including offline benchmarks, online A/B experimentation, and continuous quality monitoring
• Uphold and advance trustworthy AI practices: guardrails, human-in-the-loop, monitoring, governance, and safety mechanisms for agent-based systems
• Identify and propose high-value AI/ML and agentic AI use cases; rapidly build MVPs and POCs to validate feasibility, performance, and impact
• Select the most suitable analytical modeling techniques for structured, complex data and develop custom models; conduct EDA (statistical analysis, hypothesis testing, inference); design and run experiments; introduce new or revised features based on model responses; mentor junior associates on basic modeling and analytics techniques
• Identify model evaluation metrics and apply best-practice techniques for model testing and tuning to assess accuracy, fit, validity, and robustness for multi-stage models and ensembles
• Support deployment of analytical models into production at the required scale; contribute to evaluation, monitoring, and long-term sustainability of deployed models
• Write production-quality code using the recommended programming languages and approved testing approach to deliver solution and application features driven by business, technical, and data requirements
• Drive technical design discussions, write design documents and RFCs, and influence team-wide engineering and ML practices
• Participate actively in the hiring process — conducting technical interviews, raising the bar, and advocating for diverse talent
• Mentor junior data scientists and contribute to design and code reviews to raise the technical bar across the team

What you'll bring:

• 6+ years of professional experience designing, developing, deploying, and maintaining scalable, production-grade AI/ML and GenAI systems
• Bachelor's or Master's degree in computer science, engineering, statistics, mathematics, economics, or a related quantitative field
• Strong industry experience building production AI/ML systems, preferably at large technology companies or AI-native startups
• Hands-on experience designing and deploying GenAI solutions in production, including Retrieval-Augmented Generation (RAG), advanced prompt engineering, and orchestration patterns
• Working familiarity with agentic AI patterns and frameworks such as LangChain, LangGraph, or equivalent for tool-use, workflow orchestration, and multi-step reasoning
• Experience managing conversational context, memory, and state — including retrieval strategies, session management, and personalization techniques
• Experience driving LLM/GenAI evaluation strategy: offline benchmarks, online A/B experimentation, red-teaming, guardrails, and continuous quality monitoring
• Deep foundational knowledge of statistics, classical machine learning, and deep learning, with extensive hands-on use of TensorFlow, PyTorch, or equivalent frameworks
• Hands-on experience building deep learning systems, including model optimization, deployment, and performance tuning in production
• Expertise in Python, with a proven track record of writing high-quality, performant, and maintainable production code
• Experience with MLOps/LLMOps: CI/CD pipelines, model registries, feature stores, monitoring, drift detection, and online experimentation
• Experience with containerization and orchestration tools such as Git, Docker, and Kubernetes
• Working knowledge of SQL and large-scale data processing tools such as Spark, Hive, BigQuery, or equivalents
• Ability to mentor junior data scientists and to collaborate with stakeholders across the organization to advocate for and implement trustworthy AI/ML practices
• Strong communication skills, with experience presenting technical concepts, research findings, and product insights to technical and non-technical audiences
• A research-driven, detail-oriented mindset balanced with a strong bias toward execution and real-world impact
• Commitment to engineering excellence — automation, standards, and continuous improvement
• A passion for lifelong learning, staying current with advances in AI/ML and GenAI, and engaging with the broader research and open-source communities.

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 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...

Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India