Senior Data Scientist

Become a Part of the NIKE, Inc.

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. We look for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. We seek achievers, leaders and innovators. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game. Data science is a competitive differentiator for Nike and is fundamentally changing how the company serves athletes and consumers around the world. The Data Science & Analytics team builds technical solutions to manage the marketplace and optimize the supply chain. Using big data, advanced analytics, and innovative technology, we strive to ensure that Nike gets the right products to the right place at the right time for the consumers.

LOOKING FOR We are looking for an experienced Senior Data Scientist to join our Data Science & Advanced Analytics team, which sits within Nike’s Supply Chain and Planning Technology (SCPT). This role is part of a cross-functional Agile squad and serves a critical function in providing technical expertise and leadership in building predictive and prescriptive analytical solutions for Nike’s global supply chain and operations, specifically in the areas of manufacturing, materials sourcing, and supply planning. The candidate needs to be a dependable teammate with drive, curiosity, strong hands-on data science and analytics experience (including forecasting, optimization, and simulation), and deep understanding of supply chain and operations. You know how to rise above the numbers and explain the crucial insights to users at all levels. You simplify and distill business complexity into testable hypotheses and scalable solutions. While you are proficient in various advanced modeling techniques, you are able to identify the technique optimal for the task at hand based on the business requirements, the available data, and the technique’s assumptions, interpretability, robustness, and limitations. You have a consulting mindset, ask good questions, are continually learning and keeping up with state-of-the-art developments, and find opportunities to share knowledge with others.

You will be part of SCPT Data Science’s Sourcing, Supply, and Manufacturing (SSM) squad. As a Senior Data Scientist, you will build and deploy optimization and analytical models that power Nike’s global supply chain and support business strategies and initiatives spanning finished goods and materials sourcing, manufacturing, costing, and supply planning. You will have opportunities to influence product direction, guide standard methodologies in data science and engineering, and help deliver technical projects from inception to completion. Specifically, you will: 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 to support decision-making under uncertainty.  Build and maintain end-to-end analytical pipelines, covering data ingestion, feature engineering, model training, validation, and deployment. Work with the squad as well as our global supply chain and operations partners to assess business requirements, data constraints, and pros and cons of alternative modeling techniques to determine the best solution approach and business tradeoffs. Contribute to the planning, scheduling and value measurement of the work to meet timeline targets and success criteria. Explore business drivers of cost, on-time performance of products and materials, root causes of quality issues, and strive to achieve Nike’s sustainability goals. Help shape Nike’s analytical platforms and products by identifying