Position Summary...Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

What you'll do...

About Team

Join Walmart Marketplace as a Senior Data Scientist to drive AI and machine learning innovation across one of the fastest-growing e-commerce platforms in the US. You'll develop and deploy advanced AI solutions including agentic systems for autonomous seller onboarding, fraud detection, and recommendation engines that impact millions of customers and thousands of sellers. This role combines cutting-edge AI technologies like large language models, multi-agent systems, and conversational AI with robust practices to deliver production-scale solutions for marketplace optimization. You'll work with petabyte-scale datasets to solve complex two-sided marketplace challenges including dynamic pricing, product discovery, seller performance optimization, and platform growth strategies.

What you’ll do:

This is an opportunity to shape the future of marketplace while working with world-class teams on challenging problems in search, recommendations, fraud detection, and marketplace intelligence.

Design and implement advanced machine learning models for customer segmentation, demand forecasting, pricing optimization, and recommendation systemsDevelop and deploy agentic AI systems for autonomous decision-making in inventory management, dynamic pricing, and supply chain optimization etc.Build conversational AI agents and chatbots to enhance customer service and associate productivityCreate multi-agent systems for coordinated retail operationsConduct statistical analysis and hypothesis testing to derive actionable insights from large-scale datasetsDevelop predictive models to optimize inventory management, pricing etc.Collaborate with cross-functional teams to translate business requirements into AI-powered solutionsPresent findings and recommendations to senior leadership and stakeholdersBuild and maintain robust ML/AI pipelines using modern MLOps frameworks and toolsImplement automated model training, validation, and deployment workflows for traditional ML and agentic AI systemsDesign monitoring systems for model performance, data drift, model decay detection, and AI agent behavior analysisEstablish CI/CD pipelines for machine learning models and AI agents using tools like MLflow, Kubeflow, or similar platformsEnsure AI system governance, version control, and reproducibility across development and production environmentsOptimize model serving infrastructure and AI agent orchestration for high-throughput, low-latency applicationsImplement safety measures and guardrails for autonomous AI systems operating in production environmentsDesign feedback loops and continuous learning mechanisms for agentic AI systemsMentor junior data scientists and AI engineers, providing technical guidance on ML and AI best practicesDrive adoption of MLOps methodologies, AI safety standards, and agentic system development practicesLead the evaluation and implementation of emerging AI technologies including foundation models, LLMs, and autonomous agentsEvaluate and recommend new AI/ML technologies, frameworks, and methodologies to enhance team capabilitiesLead technical reviews for AI systems and ensure code quality, safety, and documentation standardsContribute to AI governance and ethical AI initiatives within the organization

What will you bring:

Master's or PhD in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or related quantitative field4-9 years of experience in data science, machine learning, AI development, or related analytical roles2+ years of hands-on experience with MLOps practices and production model deploymentExperience developing and deploying AI applications, autonomous systems, or intelligent agents in production environmentsExpert proficiency in Python or R for data analysis, machine learning, and AI developmentStrong experience with ML frameworks: scikit-learn, TensorFlow, PyTorch, or XGBoostExperience with AI frameworks and libraries: LangChain, LangSmith, Hugging Face Transformers, OpenAI APIsKnowledge of agentic AI frameworks: AutoGPT, LangGraph, CrewAI, or custom agent architecturesUnderstanding of large language models (LLMs), foundation models, and prompt engineering techniquesExperience with conversational AI platforms and natural language processingProficiency in SQL and experience with big data technologies (Spark, Hadoop, Hive)Hands-on experience with cloud platforms (Azure, AWS, or GCP) for ML/AI workloadsExperience with containerization (Docker, Kubernetes) and orchestration toolsKnowledge of MLOps tools: MLflow, Kubeflow, Apache Airflow, or equivalentExperience with version control (Git), CI/CD pipelines, and automated testing for AI systemsStrong business acumen with ability to connect technical solutions to business valueExcellent communication skills with ability to present complex findings to non-technical audiencesExperience working in cross-functional, agile environmentsProven track record of delivering production ML solutions that drive measurable business impactExperience in retail, e-commerce, or consumer-facing industriesAdvanced knowledge of transformer architectures, attention mechanisms, and foundation model fine-tuningExperience building multi-agent systems and autonomous AI workflowsKnowledge of reinforcement learning for decision-making and optimization problemsExperience with AI safety, alignment, and robustness techniques for production systemsUnderstanding of retrieval-augmented generation (RAG) and vector databasesExperience with computer vision AI applications and multimodal AI systemsKnowledge of federated learning and distributed AI training approachesExperience with A/B testing frameworks and experimental design for AI systemsExperience with real-time inference and streaming data processingFamiliarity with feature stores and data lineage toolsUnderstanding of model explainability, interpretability, and fairness techniquesExperience with deep learning for computer vision or NLP applicationsKnowledge of optimization techniques and operations research methodsExperience with AI governance frameworks and responsible AI practices

Technical Environment

Programming Languages: Python, R, SQL, ScalaML/AI Platforms: Azure ML, Databricks, MLflow, Hugging FaceAI Frameworks: LangChain, TensorFlow, PyTorch, OpenAI APIsAgent Frameworks: LangGraph, CrewAI, custom multi-agent systemsData Platforms: Azure Synapse, Spark, Kafka, Vector DatabasesInfrastructure: Kubernetes, Docker, TerraformMonitoring: Grafana, Prometheus, custom AI system dashboards

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.

Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our 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 ROAD KADUBEESANAHALLI, , India