LEAD DATA SCIENTIST, INNOVATION

Become a Part of the NIKE, Inc. Team

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.

The Nike Sport Research Lab (NSRL) is a multidisciplinary team of researchers, innovators, and scientists who lead with science to make athletes* measurably better. We deliver validated insights and innovative capabilities to drive the future of Nike products and services. The Data Science team in the NSRL unearths insights and automates recommendations to help everyday athletes* move better, while also supporting our product innovation teams!

Who we are Looking For

We are looking for an outstanding Lead Data Scientist to create capabilities and provide insights that enhance athlete performance, drive product innovation, and elevate consumer experiences, working primarily within our Field Research and Athlete* Services teams in the NSRL. In this role, you will transform raw athlete data -- collected in the lab and gathered in the real world using wearable devices and IoT sensors -- into meaningful insights and data products.

Key Responsibilities

• Develop and implement innovative ways of annotating and analyzing athlete* data to improve performance, prevent injury, and encourage continued engagement with Nike.

• Collaborate with sports scientists, researchers, and product designers to translate insights into actionable feedback for the development of future footwear and apparel products.

• Build and maintain robust data pipelines that ensure high-quality, relevant data collection and storage, facilitating efficient data analysis and model development.

• Communicate findings and insights to broad audiences to influence decision-making and strategy.

Qualifications

• Advanced quantitative degree (Statistics, Mathematics, Computer Science, Quantitative Social Science, Engineering, Physics or related field)

• 2 -4 years of industry experience as a data scientist or machine learning engineer

• Proficiency in common coding languages (Python, SQL, R)

• Experience working with sports-science time-series sensor data (biomechanical, physiological, and performance).

• Experience in machine learning, statistical modeling, and algorithm development

• Experience working with Amazon Web Services

• Demonstrated expertise in using Tableau for insight sharing to broad audiences.

• Proven track record of working cross-functionally and critically evaluating complex data from multiple perspectives, including questioning assumptions and validity.

• Excellent written and verbal communication skills, including ability to develop and deliver presentations.

• Passion for sports and a deep understanding of the athletic performance ecosystem.

• Comfortable owning projects end-to-end, including data ingestion, preprocessing, and cleaning, to developing, deploying predictive models, and extracting actionable insights.

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.

How We Hire

At NIKE, Inc. we promise to provide a premium, inclusive, compelling and authentic candidate experience. Delivering on this promise means we allow you to be at your best — and to do that, you need to understand how the hiring process works. Transparency is key. * This overview explains our hiring process for corporate roles. Note there may be different hiring steps involved for non-corporate roles.

Job Details