Senior Data Scientist

NIKE, Inc. is seeking an experienced Senior Data Scientist to join its Data Science & Advanced Analytics team within Supply Chain and Planning Technology. The role provides technical expertise and leadership in building predictive and prescriptive analytical solutions for Nike’s global supply chain and operations, with a focus on manufacturing, materials sourcing, and supply planning.

What you will work on

• Design, develop, and productionize optimization and analytical models to support supply chain decisions.
• Apply statistical modeling and simulation techniques to complement optimization-based solutions.
• Conduct model performance analysis, scenario testing, and sensitivity analysis.
• Build and maintain end-to-end analytical pipelines covering data ingestion, feature engineering, model training, validation, and deployment.
• Partner with global supply chain and operations stakeholders to assess requirements, data constraints, modeling techniques, and business tradeoffs.
• Explore cost, on-time performance, quality, and sustainability drivers across products and materials.
• Help shape Nike’s analytical platforms by creating reusable data science capabilities and components.
• Support adoption of analytical products through storytelling and collaboration.
• Contribute to model governance, reproducibility, and responsible use of data science solutions.

Who you will work with

You will report to the Director of Data Science and collaborate with data science leads and peers, data engineers, software engineers, product owners and managers, and business end users.

What you bring

• Advanced quantitative degree and at least 5 years of related industry experience, or a bachelor’s degree and 7–12 years of related work experience.
• Deep knowledge of data science, artificial intelligence, machine learning, statistical modeling, and linear and nonlinear optimization.
• Experience building optimization models with Python and commercial solvers such as Gurobi or CPLEX.
• Advanced Python and SQL programming skills.
• Familiarity with tools such as Jupyter Notebook, Hadoop, Spark, AWS, and Databricks.
• Experience building and maintaining predictive models in production at enterprise scale.
• Deep knowledge of supply chain, supply planning, manufacturing, sourcing, and logistics.
• Cross-functional consulting, Agile development, project planning, and communication skills.

NIKE, Inc. offers a total rewards package, a diverse and inclusive culture, and opportunities for professional development. The company is an equal opportunity employer and provides accommodations throughout the interview process.