Lead Data Scientist

Sorry, this job was removed at 06:36 p.m. (CST) on Monday, Jun 02, 2025
Beaverton, OR, USA
In-Office
Other • Retail
At NIKE, Inc., technology is laying the foundation for our digital transformation and direct-to-consumer strategy.
The Role

Lead Data Scientist- Nike Inc.- Beaverton, OR. Work closely with Data Science and Engineering teammates to build, support, and enable end-to-end personalized shopping experience use cases. Build credibility for algorithmic approaches through demonstrating functional expertise and experience. Innovating to drive more temporally precise engagement, and broader adoption across the organization. Establish and support large-scale measurement and optimization of consumer experiences for different geographies in a production/testing environment. Enhance and consult on best Search and Recommender System practices to connect the impact of marketplace drivers and business short-term and long-term outcomes. Partner with peers in both Data Science and Engineering, developing scalable data, improving current models, systems, and modeling processes. Utilize common tools and instruments to help establish operational excellence for Nike. Drive the application and implementation of innovative best-in-class methods and tools to derive useful insights for a wide variety of business goals in support of merchandising efforts. Stay up to date on industry trends, tools, and platform capabilities relevant to the team’s disciplines. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.

Must have a Master's degree in Computer Science, Data Science and two (2) years of experience in the job offered or data-related occupation. Experience must include the following:

  • Building and maintaining predictive and/or prescriptive models in production at enterprise scale
  • Synthesizing and packaging complex analyses and delivering results to non-technical audiences including executive leadership teams
  • Developing and running simulation and optimization tools to support decision making
  • Python and SQL
  • Machine Learning (Regression, Classification, Clustering) and Deep Learning(MLP, LSTM, CNN);
  • Time Series Modeling
  • Design of Experiments
  • Cloud Services (Amazon Web Services)
  • Spark and Hadoop
  • Data Visualization (Tableau)
  • Scheduling Tools (Airflow)
  • Agile Development Process
  • Quality Assurance Testing and Automation

Apply at www.Nike.com/Careers (Job# R-61369)
#LI-DNI

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

Nike Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.

  • Retirement Support A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
  • Equity Value & Accessibility An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
  • Parental & Family Support Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.

Nike Insights

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The Company
HQ: Beaverton, OR
73,000 Employees
Year Founded: 1972

What We Do

At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.

Why Work With Us

At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.

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