SENIOR, DATA SCIENTIST (CV-MLE)

Walmart

Walmart

Data Science

Bengaluru, Karnataka, India

Posted on Apr 20, 2026

Position Summary...

What you'll do...

About Team:

Cognitive Vision and Agentic Tech at Walmart applies machine learning and computer vision to improve visibility, quality, and execution across the supply chain and stores.

We build and deploy computer vision models that power quality control (QC), defect detection, severity assessment, and product classification—enabling faster, more consistent decisions from receiving and distribution to backroom and on-shelf execution. We partner closely with engineering to productionize these models through scalable data pipelines, reference architectures, and end-to-end vision workflows in a big-data ecosystem.

In this role, you will contribute to vision-based solutions, collaborate with data scientists, engineers, and business stakeholders to deliver reliable computer vision capabilities that support Quality Control across Supply Chain Technology (SCT) and store operations.

What you'll Do:

As a Senior Data Scientists at Walmart , you’ll have the opportunity to

  • Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from petabytes of data

  • Solve problems using world class algorithms, by researching and implementing these to production using best practices to handle scale and latency requirements

  • Develop/Review the production level code for implementation of Deep Vision algorithms

  • Research, learn & adapt new technologies to solve problems & improve existing solutions

  • Partner with team and stake holders to assess customer needs and define business questions

  • Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry

  • Collaborate with data scientists, software engineers, and product teams to scale models into production systems

  • Design and optimize ML pipelines, ensuring scalability, efficiency, and real-time processing capabilities.

  • Deploy and Scale end-to-end models, balancing accuracy and computational efficiency.

  • Ensure models meet business and operational requirements, optimizing for accuracy, latency, and reliability.

  • Explore and integrate the latest AI advancements, ensuring Walmart remains a leader in AI-driven delivery solutions.

What you'll bring:

  • Masters in Engineering/Technology or MSc with 6-9 years of relevant experience

  • Problem solver at heart with experience in Machine learning, Computer/Deep Vision / Mutimodal large language models

  • Proficiency with Python/PySpark/BiqQuery etc

  • Proficiency with ML libraries sklearn/pytorch/tensorflow etc

  • Cloud friendliness (GCP/Azure etc) to leverage distributed computing/scalability

  • Proven track record of deploying ML models in production, preferably in high-scale environments.

  • Knowledge of big data technologies like Spark, Kafka, and SQL.

  • Proficiency in MLOps practices, including CI/CD for ML pipelines and model monitoring.

  • Strong understanding of DevOps tools and infrastructure automation.

  • Ability to drive projects from conception to production in a fast-paced, dynamic environment.

  • Good communication/influencing/mentoring skills with inclination to high ownership and commitment

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

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, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India