Senior, Data Scientist

Position Summary...

What you'll do...

About the team:

The team at Walmart integrates expertise in data science and computer vision to advance innovation while prioritizing safety and security across operations. They focus on fraud prevention, threat detection, and digital risk management, supporting cloud transformation initiatives to maintain a secure environment and stakeholder confidence. Utilizing advanced analytics and data-driven insights, the team enhances decision-making and operational reliability. Collaboration and continuous improvement drive their approach, fostering a culture dedicated to accuracy, security, and sustainable growth within the organization.

What you'll do:

• Design, train, and deploy computer vision models for object detection, image-based personalization, including product discovery, visual recommendations, and generative image content.
• Build and scale foundation model pipelines that leverage multimodal signals — including text, images, and customer embeddings — to power highly personalized visual experiences.
• Mentor team members on best practices, lead innovation efforts on image generative modeling, including diffusion models, CNNs, or text-to-image synthesis aligned with retail context.
• Design model workflow that integrates with MLOps to optimize model performance and latency, deploy and monitor models in production environments, ensuring performance and scalability.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Establish best practices and reusable analytical frameworks for the team
• Ensure models are production-ready by collaborating with engineering on scalability, monitoring, and integration
• Set modeling standards, review approaches, and mentor team members on advanced techniques
• Translate complex analyses into clear, actionable narratives for senior and executive stakeholders
• Proactively identify new growth levers and influence roadmap prioritization
• Act as a strategic advisor to cross-functional leaders, driving alignment on high-impact initiatives
• Drive adoption of best practices in data science, experimentation, and decision-making across the organization

What you'll bring:

• MS or (preferably) PhD in Computer Science, Machine Learning, Computer Vision, Applied Mathematics, or a related technical field, with 7+ years of industry or research experience.
• Demonstrated expertise in deep learning for computer vision, including CNNs, vision transformers (ViTs), and diffusion-based generative models.
• Experience building and deploying image generation, manipulation, or understanding systems in production — such as visual search, personalized image recommendations.
• Strong familiarity with PyTorch, TensorFlow, OpenCV, torchvision, Hugging Face, GPU deepstream.
• Familiarity with multimodal models (e.g., CLIP, BLIP, Flamingo) that combine vision and language for richer customer understanding and content personalization.
• Deep expertise in SQL and Python (pandas, scikit-learn, statsmodels) and experience working with large-scale datasets
• Proven track record of building and scaling models in production environments
• Advanced understanding of experimentation, causal inference, and statistical modeling
• Experience with cloud data ecosystems (e.g., BigQuery, Spark) and production-grade data workflows
• Good to be skilled in model optimization and fine-tuning approaches such as PEFT, LoRA, adapters, model distillation and domain adaptation to efficiently customize large language models.
• Proficient in building retrieval and search systems using embeddings, semantic and hybrid search, and vector databases including FAISS, Milvus or Weaviate.
• Strong background in computer vision covering image classification, object detection, segmentation (semantic and instance) using architectures like CNNs, ResNet or EfficientNet or Vision Transformers (ViT, Swin).
• Good to have experience in generative AI techniques including RLHF, DPO, GPRO, RAG (Retrieval-Augmented Generation), multi-agent systems, AI agents, MCP design, memory systems, context window optimization for scalable LLM applications.
• Good to have Experience with multimodal and generative models including CLIP, DINO, VQA, image captioning, diffusion models (Stable Diffusion), GANs, and video models such as VideoMAE and optical/crowd flow segmentation.

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/Chennai] 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, Kadubeesanahalli Village, Varthur Hobli , India