Position Summary...

What you'll do...

Walmart is a multi-national people led tech powered omnichannel retailer with over 2.2M associates. At FDF-DS, we help, support, and empower the Walmart’s FinTech function with AI and GenAI solutions to improve productivity of Record To Report Walmart's associates. FDF-DS is a data science team supporting Fin Tech and Services across a multitude of use-cases and business domains.  

GLAD Team under FDF-DS to continuously monitor General Ledger (GL) account balances. It effectively identifies anomalies, supports detailed variance analysis, and significantly streamlines the financial reporting and reconciliation processes. GLAD integrates advanced AI technologies to ensure financial accuracy, timeliness, and efficiency, making it an invaluable asset for finance and audit teams.

The GLAD team is seeking a highly skilled and experienced Staff Data Scientist. In this individual contributor role, you need to possess excellent hands-on experience as well as a deep passion for AI/ML product development. In this role, you will build an LLM-powered intelligent experience within a chatbot or business application to enhance associate experience and productivity. This role involves development of innovative GenAI/AI systems on an enterprise scale, implementing cutting-edge Generative AI technologies, and collaborating with a highly synergized team of data scientists, machine learning engineers, software engineers. Also, you will play a pivotal role in shaping the technical direction of our products and systems with responsibilities including leading the creation and maintenance of technical architecture, aligning it with business goals and scalability requirements, and architecting complex AI/ML systems to ensure robustness, responsible-AI, and scalability needs are met. Additionally, the role involves providing hands-on technical guidance and mentorship to junior data scientists, machine learning engineers, collaborating closely with cross-functional teams, and establishing and enforcing coding standards through thorough code reviews. 

About Team: 

The FDF-DS team supports the successful deployment and adoption of new AL/ML technology across the enterprise. FDF-DS is one of the major segments of Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance stream. 

Enterprise Business Services (EBS) @ IDC Bangalore and Chennai in India are focused on data driven, highly optimized products and implementations in the areas of Finance, Procurement, Human Resources and Retail business functions for multiple Walmart markets with open stack technologies and other ERP tools. 

What you'll do: 

This is a vital role with significant growth prospects. You will have work to do from day one and you will be counted on to create opportunities that align with the overall organization goals. Some of this role’s key responsibilities include, but not limited to: 

• Collaborate with a team of data scientists, machine learning engineers and software engineers to design, architect, build AI/ML models and systems, and deploy, operate and optimize the solutions 

• Work in an Agile practice in a highly collaborative environment with a multidisciplinary team. 

• Design end-to-end system architecture for GenAI/AI/ML and data intensive applications 

• Construct multi-agent intelligent workflows that translate natural language inputs into complex, goal-directed task sequences. 

• Mentor team of data scientists to develop their skills and business understanding 

• Develop and deploy production-grade real-time/batch machine learning services 

• Work with product managers to design user journeys, feedback loop and analyze user telemetry 

• Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions 

• Uphold a set of robust work standards to ensure we build trustworthy AI/ML solutions 

• Collaborate with applied researchers and data scientists to iteratively improve our ML models and refine MLOps practice   

What you’ll bring: 

• You have 9+ years' experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric GenAI /AI /ML products and applications 

• You have a bachelor's/master's degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area 

• You have excellent industry experience in production-grade AI/ML system development with major technology companies or AI-native start-ups. 

• You have extensive experience in production-grade python code development. Expert in Python libraries such as pandas, NumPy, scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM, and Hugging Face Transformers.
• Hands-on experience building, fine-tuning, and deploying Large Language Models (LLMs), multimodal and agentic AI systems (e.g., LangChain, LlamaIndex, OpenAI APIs, or Anthropic Claude including prompt engineering, retrieval-augmented generation (RAG), or open-weight model customization. 
• Apply advanced statistical modeling, causal inference, time series forecasting, and optimization techniques to drive data-driven decision-making.
• Collaborate with ML engineering teams to productionize models using MLflow, Kubeflow, Docker, FastAPI, or Streamlit dashboards for internal insights.
• Develop and maintain end-to-end ML pipelines including data ingestion, model training, monitoring, and A/B testing.
• Evaluate model performance using robust validation frameworks, interpretability methods (e.g., SHAP, LIME), and scalability best practices.

• You can effectively mentor junior data scientists and guide them through ambiguous technical problems on the project 

• You can communicate internally and externally through publications, presentations, and other mediums on research progress, major breakthroughs, and product innovation. 

• You have extensive experience with statistical analysis and programming languages e.g. Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch. 

• You have experience in building deep learning applications, neural network deployment optimizations and architecting ML systems 

• You have experience in developing chatbots/ NLP/ recommendation-engine systems 

• You are excited about building distributed machine learning systems at scale in production   

• You are familiar with version control using Git in collaboration settings  

• You have experience at writing high-performing production-quality code in Python  

• You have experience in working with end-to-end CI/CD pipelines and experience with Kubernetes  

• You are research driven, thorough and detail oriented 

• You believe in the importance of establishing work standards and leveraging automations   

• You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms   

• You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others  
• Good to Have - Publication history in top-tier ML/NLP conferences such as NeurIPS, ICML, ACL, EMNLP, or ICLR 

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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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...

Rmz Millenia Business Park, No 143, Campus 1B (1St -6Th Floor), Dr. Mgr Road, (North Veeranam Salai) Perungudi , India