(IND) SENIOR, DATA SCIENTIST

Position Summary...

What you'll do...

About Team

The Data Science team within the Enterprise Business Services Pillar at Walmart Global Tech leverages cutting-edge machine learning, statistics, and optimization techniques to solve complex business challenges. We transform data into actionable insights, build scalable models, and collaborate with engineering teams to deploy solutions that enhance decision-making across Walmart’s vast ecosystem.

Walmart’s Enterprise Business Services (EBS) is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart.

As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is EBS. Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.

What You Will Do

Partner with business stakeholders to understand challenges and propose data-driven solutions.

• Work closely with Staff and Principal Data Scientists to ensure timely delivery of ML products.
• Contribute to the development of ML pipelines and best practices in ML Ops.
• Lead medium to large-scale data science projects from ideation to deployment.
• Identify opportunities for algorithmic innovation and share learnings across teams.
• Evaluate model performance and ensure robust documentation and testing.
• Apply a product mindset to build scalable and maintainable data science solutions.
• Collaborate with global teams to deliver high-quality analytics solutions.
• Stay current with industry trends and contribute to Walmart’s data science community.
  
  

As a Senior Data Scientist, you will:

• Develop and implement advanced statistical and machine learning models to support business initiatives across retail and finance domains.
• Collaborate with cross-functional teams to gather, validate, and synthesize data into analytics-ready datasets.
• Build and train AI/ML models with a focus on scalability and reusability.
• Translate analytical insights into actionable recommendations and communicate them effectively to business stakeholders.
  
  

What You Will Bring

Bachelor’s/Master’s/Ph.D. in Computer Science, Statistics, Mathematics, or a related field.

• 5+ years of experience in data science, with a proven track record of leading projects.
• Strong expertise in machine learning techniques including classification, regression, NLP, forecasting, and optimization.
• Experience in deploying models in production environments using tools like Vertex AI, Kubeflow, or similar.
• Proficiency in Python and PySpark; familiarity with R is a plus.
• Experience with cloud platforms such as GCP or Azure.
• Exposure to big data technologies like Hadoop, Hive, and MapReduce.
• Familiarity with GenAI concepts such as embedding generation, vector databases, and prompt engineering is a plus.
• Strong communication skills and ability to influence business decisions through data.
  
  

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 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...

Rmz Millenia Business Park, No 143, Campus 1B (1St -6Th Floor), Dr. Mgr Road, (North Veeranam Salai) Perungudi , India R-2306648