Sporting Fashion & Goods
Senior Data Scientist - Supply Chain Optimization, ITC
Mid Level
Karnataka, India
in office
Full time
Buying, Procurement & Supply ChainSupply Chain
Job description
About the Role
The Senior Data Scientist role is within the Data Science & Advanced Analytics team at NIKE, Inc., which sits within Supply Chain & Planning Technology. The team drives forecasting, optimization, and simulation solutions across Nike's supply chain, partnering with supply chain, technology, and product stakeholders. The role reports to the Director of Data Science Supply Chain & Planning Technology and collaborates with global engineering, operations research, and business analytics teams.
Key Responsibilities
- Design, develop, and productionize optimization models and forecast models 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.
Required Experience & Qualifications
- Deep expertise in optimization and operations research with strong machine learning fundamentals.
- 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 models.
- Proficiency in Python and SQL, with experience in cloud or distributed data environments.
- Ability to communicate complex quantitative results clearly to both technical and business audiences.
- Ownership mindset, intellectual curiosity, and a passion for solving real-world supply chain problems at global scale.
Preferred Skills
- Strong experience with supply chain use cases: planning, inventory, logistics, e-com, manufacturing, or fulfilment.
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