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Walmart Global Tech India seeks a Senior Manager Data Science to lead time series forecasting and ML initiatives across the supply chain. You will build models, mentor a team of data scientists, and work with stakeholders in Bentonville to translate complex data into actionable business insights.
You’ll balance hands-on analytics with strategic leadership, define career paths, ensure responsible AI practices and align with Product, Engineering, Finance and Legal.
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.
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.
Build a team culture grounded in curiosity, collaboration, and delivery excellence.
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.
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.
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.
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.
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.
Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India