The Data Science & Advanced Analytics team sits within Supply Chain & Planning Technology (SCPT) at NIKE, Inc., driving forecasting, optimization, and simulation solutions across Nike’s supply chain. The team develops end-to-end digital transformation across global planning, inventory, logistics and supply chain operations. This team partners with supply chain, technology team, and product stakeholders across NIKE's India hub to deliver cutting-edge analytical and optimization solutions that shape how NIKE moves product around the world. This role reports to the Director of Data Science Supply Chain & Planning Technology and collaborates closely with global engineering, operations research, and business analytics teams, and with the broader Data Science Center of Excellence to elevate discipline standards enterprise-wide.
WHO WE ARE LOOKING FORWe are looking for a Senior Data Scientist who combines deep expertise in optimization and operations research with strong machine learning fundamentals. The ideal candidate thrives at the intersection of data science and supply chain, has a track record of delivering production-grade models, and communicates complex quantitative results clearly to both technical and business audiences. You bring an ownership mindset, intellectual curiosity, and a passion for solving real-world supply chain problems at global scale.
Bachelor's or Master's degree in Data Science, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field.
5+ years of professional experience as a data scientist or applied scientist.
Hands-on experience building optimization models using Python (Pyomo, PuLP, OR-Tools), commercial or open source solvers (Gurobi, CPLEX), or equivalent.
Hands-on experience building forecasting Model
Proficiency in Python and SQL, with experience in cloud or distributed data environments.
Strong experience with supply chain use cases: planning, inventory, logistics, e-com, manufacturing, or fulfillment are preferred.
As a Senior Data Scientist on the Supply Chain & Planning Technology team, you will design, build, and deploy advanced optimization and analytical models that power NIKE's global supply chain decisions — from demand planning and inventory positioning to sourcing and logistics.
Design, develop, and productionize optimization models and forecast model to support supply chain decisions including demand planning, inventory optimization, sourcing, capacity planning, and logistics.
Build and maintain end-to-end analytical pipelines covering data ingestion, feature engineering, model training, validation, and deployment.
Apply statistical modeling, machine learning, and simulation techniques to complement optimization-based solutions.
Partner closely with supply chain, operations, and product stakeholders across India and global teams to translate business problems into quantitative models and clearly communicate results and tradeoffs.
Conduct model performance analysis, scenario testing, and sensitivity analysis to support decision-making under uncertainty.
Contribute to best practices for model governance, reproducibility, documentation, and responsible use of data science solutions.
Mentor junior data scientists through technical guidance and model reviews.
Skills Required
- Bachelor's or Master's degree in Data Science, Statistics, Operations Research, Industrial Engineering, Computer Science, or a related quantitative field
- 5+ years of professional experience as a data scientist or applied scientist
- Hands-on experience building optimization models using Python optimization libraries such as Pyomo, PuLP, or OR-Tools, and commercial or open-source solvers such as Gurobi or CPLEX
- Hands-on experience building forecasting models
- Proficiency in Python and SQL
- Experience with cloud or distributed data environments
- Experience with supply chain use cases such as planning, inventory, logistics, e-commerce, manufacturing, or fulfillment
Nike Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.
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Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
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Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.
Nike Insights
What We Do
At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.
Why Work With Us
At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.
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