Senior Data Scientist

Job description

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. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it’s about each person bringing skills and passion to a challenging and constantly evolving game.

Senior Data Scientist – Nike, Inc., Beaverton, OR. Deliver scalable models to power digital demand sensing and enable critical investment decisions. Use predictive analytics to forecast consumer demand, enhance decision making and drive to action against our strategic priorities. Simplify and distill business complexity into testable hypotheses and scalable solutions. Identify the technique optimal for the task at hand based on the business requirements, data, technique’s assumptions, interpretability and robustness. Develop new sophisticated algorithms and improve existing approaches based on statistical/econometric methods, machine learning techniques, big data solutions and forecast consumer demand. Determine optimal level of investment in various stages of the supply chain. Assess business requirements and constraints to make trade-off recommendations between speed and accuracy of alternative solution approaches. Identify and apply appropriate methods to acquire, explore, cleanse, and fuse data from different sources. Key contributor to building, scoring, deploying, monitoring, updating and promoting Nike’s central forecasting platform. Facilitate the planning, scheduling and value measurement of the work to meet timeline targets and success criteria. Support the adoption of analytic products through effective storytelling and collaboration with key partners. Work with the Director of Data Science while partnering on daily basis with the fellow data scientists, data analysts, engineers and product owner. Collaborate across the broader organization with business teams in demand and supply management, and other data, analytics and technology functions.

Applicant must have a Master’s degree in Data Science, Computer Science, Business Analytics or Business Administration and 2 years of experience in the job offered or in a technology-related position. Experience must include:

  • Machine Learning algorithms and packages;
  • Time series forecasting;
  • Deep learning algorithms;
  • Python;
  • SQL;
  • Objected oriented programming and design;
  • Git;
  • Visualization tools, such as, Tableau or PowerBI;
  • JIRA; and
  • PySpark.

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.


Design, development, manufacturing, and marketing of sports equipment.