(IND) SENIOR, DATA SCIENTIST
Walmart · Posted Oct 31
Retail, e-commerce, grocery, pharmacy, and membership warehouse services
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About the role
The Associate AI Experience team within Walmart's AI & Data pillar builds a unified, personalized, and trusted super-agent ecosystem that embeds governed AI into everyday workflows for field associates, business users, and developers, enabling domain experts to build, test, evaluate, and deploy their own grounded AI agents. As part of Walmart Global Tech in India, the team builds solutions used across global Walmart markets at massive data scale. The Senior Data Scientist will own end-to-end design, development, and operation of production GenAI, agentic AI, and ML systems, drive evaluation and trustworthy AI practices, and mentor junior data scientists.
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, 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
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- incentive awards for your performance
- maternity and parental leave
- PTO
- health benefits
About Walmart
Walmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. As one of the world's largest companies by revenue, it serves millions of customers daily through physical stores and robust e-commerce platforms. The company is driven by a commitment to everyday low prices and an expanding suite of digital and convenience-focused services.
- Industry
- Retail
- Company size
- 2000000+ employees
- Founded
- 1962
- Location
- Bentonville, Arkansas, USA
- Funding stage
- Public Company
Leadership
President and CEO
Executive Vice President and Chief Financial Officer
Executive Vice President, Global Chief Technology Officer and Chief Development Officer
Executive Vice President and Chief Growth Officer
President and CEO, Walmart U.S.
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