AddressNIKE, Inc.チームの 一員になる
NIKE, Inc.の仕事は、世界トップクラスのアスリートたちにウェアやシューズを提供することだけではありません。ここは自分の潜在力を探求し、限界を取り払って、可能性を大きく広げることができる職場です。Nikeが求めているのは、意欲を持って成長し、自分の頭で考え、夢を思い描き、新しく創造できる人材。多様性を武器に創意工夫を奨励することで、企業文化を発展させています。Nikeブランドは、成功に向かって努力を続ける人や、チームを率いるリーダーや、大きな目標を思い描ける人材を求めています。常に進化し続ける仕事にはやりがいがあり、NIKE, Inc.では従業員一人ひとりが各々のスキルと情熱を日々の業務に注いでいます。
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.
成長企業であるNIKE, Inc.は、一緒に成長してくれるチームメンバーを求めています。Nikeは、充実したトータルリワードパッケージ、カジュアルな職場環境、多様性豊かでインクルーシブな企業文化、プロフェッショナルを育てる刺激的な雰囲気を提供しています。勤務地や役割に関わらず、すべてのNikeの従業員は「あらゆるアスリートにインスピレーションとイノベーションをもたらす」という刺激的なミッションを共有しています。
NIKE, Inc.は、多様な従業員の採用に取り組んでいます。募集条件に合致した応募者が、審査の際に人種、肌の色、信仰、性別、国籍、年齢、性的指向、性同一性、性表現、兵役の経験、障がいの有無などで差別されることはありません。
