(IND) SENIOR MANAGER, DATA SCIENCE

About Team

Decision Science team at Walmart is focused on using the latest and greatest in time series forecasting, machine learning and statistics to solve business forecasting problems within supply chain process flow. We build time series forecasting models and machine learning pipelines in a big data ecosystem to empower decision-making. Advanced analytical and forecasting algorithms driven by our team help Walmart to optimize supply chain at operational, tactical and strategic levels, business practices, reduce cost and pass those benefits to our customers.

You will be contributing towards building forecasting/prediction/root-cause algorithms by closely collaborating with our stakeholders at Bentonville and provide solution to business challenges. In most cases the prioritization of business challenges is based on impact and hence your contributions can have direct impact to our businesses.

As a Sr Manager Data Science at Walmart, you’ll have the opportunity to

• Play a key role to solve complex time series forecasting problems, pivotal to Walmart’s business and drive actionable insights from terabytes of data
• Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart.
• Work with team, businesss stakeholders and functionally develop PoC, present lucidly to the business and evolve the solutions
• Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions
• Brainstorm, review and mentor team in providing robust data science solutions
• Hire, mentor, and grow a world-class team of data scientists (individual contributors across levels).
• Define clear career paths, set high performance standards, and cultivate a psychologically safe and inclusive team environment.
• Balance hands-on technical engagement with effective delegation and team empowerment.

Build a team culture grounded in curiosity, collaboration, and delivery excellence.

• Collaborate closely with stakeholders to embed data science into product strategy and decision-making from the ground up.
• Engage with Walmart's central ML Platform, Data Engineering, and AI Governance teams to align on tooling, standards, and responsible AI practices.

What You'll Bring

• M.Tech with 9+ years of relevant experience in AI time series forecasting and machine learning / artificial intelligence
• Problem solver at heart with experience in Time Series Forecasting, Machine learning and Data Science
• Proficiency with Python/PySpark/BiqQuery etc
• Proficiency with ML libraries sklearn/pytorch/tensorflow etc
• Good knowledge of commonly used design patterns in data science
• Cloud friendliness (GCP/Azure etc) to leverage distributed computing/scalability
• Good communication/influencing/mentoring skills with inclination to high ownership and commitment
• Leadership Expectations

At this level, leadership is as important as technical depth. Connect daily work to business goals. Attract top-tier data scientists; build a team that people want to join and stay on.

• Communicate confidently with VP/SVP stakeholders; synthesize complexity into clear narratives
• Hold the team to high standards of quality, speed, and documentation
• Ensure models are fair, explainable, auditable, and compliant with Walmart's AI governance standards
• Drive alignment across Product, Engineering, Finance, and Legal without direct authority

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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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