Position Summary...
Job Summary –
As a Senior Manager, Data Science, you’ll lead a high-impact team at the intersection of advanced analytics, strategy, and digital twin simulations. This role offers the opportunity to shape how we model and optimize one of the world’s most complex supply chains, driving smarter decisions that balance customer satisfaction, cost efficiency, and long-term scalability. You’ll combine hands-on technical expertise with strategic leadership, building next-generation simulation capabilities while mentoring a talented team of data scientists to deliver measurable business impact.What you'll do...
About The Team
The Centroid team is the backbone of Walmart’s end-to-end supply chain strategy. We design and implement long-term strategies powered by advanced data analytics and data science, ensuring Walmart continues to deliver world-class customer service while scaling to meet future demand at low and efficient costs. By leveraging sophisticated data analysis, predictive modeling, and a Digital Twin Simulation platform, we test and validate future strategies before implementation, optimize processes, and make data-driven decisions that strengthen Walmart’s supply chain resilience and flexibility.
What You'll Do -
- Lead and mentor a team of 3–5 data scientists, driving innovation and building digital twin simulation capabilities to model and optimize supply chain performance.
- Deliver advanced analytics and AI/machine learning solutions that balance customer satisfaction, operational cost, and long-term asset efficiency.
- Partner with product, engineering, and business leaders to shape strategy, translate challenges into scalable data science solutions, and influence decision-making.
- Build and scale models, simulations, and analytics pipelines that inform policy, process design, and strategic initiatives.
- Communicate insights through compelling narratives and visuals that resonate with both technical and executive audiences.
What You'll Bring -
- Proven experience leading high-performing data science or analytics teams (3–5 associates).
- Deep expertise in advanced analytics, AI/machine learning, and simulation modeling.
- Strong proficiency in Python or R, SQL, and cloud data platforms (BigQuery, GCP, Azure).
- Hands-on experience with large-scale data processing (Spark, Hadoop) and visualization tools (Tableau, Looker).
- Ability to balance technical depth with strategic vision, driving measurable business outcomes.
- Excellent communication and stakeholder management skills with a track record of influencing senior leadership.
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. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds 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, were 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 welcoming 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 ROAD KADUBEESANAHALLI, , India R-2300084
