Staff – Data Scientist

Position Summary...

What you'll do...

About Team

The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart’s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases.

The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

 What you'll do: 

We are looking for a Staff Machine Learning Engineer who can help build large scale AI/ML/Optimization products. Expected qualities include ability to build, deploy, maintain and troubleshoot large scale systems.

As a Staff ML Engineer, you’ll have the opportunity to

• Drive research initiatives and proof-of-concepts that push the state of the art in generative AI and large-scale machine learning.

• Design and implement high-throughput, low-latency AI/ML pipelines and microservices that operate at global scale.

• Oversee data ingestion, model training, evaluation, deployment and monitoring-ensuring performance, quality and reliability.

• Customize and optimize LLMs for specific business use cases, balancing accuracy, latency and cost.

• Prototype novel generative AI solutions, integrate advancements into production, and collaborate with research partners.

• Champion best practices in data quality, lineage, governance and cost optimization across ML pipelines.

• Mentor a team of ML engineers, establish coding standards, conduct design reviews, and foster a culture of continuous improvement.

• Present your team’s work at top-tier AI/ML conferences, publish scientific papers, and cultivate partnerships with universities and research labs.

What you'll bring:

• PhD in Computer Science, Statistics, Applied Mathematics or related field with 5+ years’ experience in ML engineering-or Master’s with 8+ years or Bachelor’s with 10+ years.

• Proven track record of leading and scaling AI/ML products in production environments.

• Deep expertise in generative AI, large-scale model deployment, and fine-tuning of transformer-based architectures.

• Strong programming skills in Python, or equivalent, and experience with big data frameworks (Spark, Hadoop) and ML platforms (TensorFlow, PyTorch).

• Demonstrated history of scientific publications or patents in AI/ML.

• Excellent communication skills, a growth mindset, and the ability to drive cross-functional collaboration.

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

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...

BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India