9 days old

Senior Data Scientist - Nike

Beaverton, Oregon

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, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

For Nike, Inc. merchants, everything begins and ends with the consumer. The Nike Merchandising team understands consumer needs and market capacity to create the right product mix for marketplaces around the world. From stores to online, this team helps bring the seasonal category visions to life. The Merchandising team has the unique ability to see beyond trends to identify what’s next to deliver the right product to the right places at the right time and price.


This role is in the Data Science team of the Nike Global Product and Merchandising Analytics. The Data Science team is chartered with leveraging state of art analytics to add significant and measurable value to the Nike product creation, consumer sensing and merchandising processes. We do this through use of an algorithmic approach.

Position Summary

The Sr Data Scientist for Machine Learning and Algorithms will develop and scale models in production code. Person in this role will be key to developing analytical capabilities in Merchandising and Product Creation. The business opportunities in this space include line plan optimization, assortment optimization, pricing value management, product lifecycle management, consumer product data, etc. You will be part of a cross functional team which uses an analytic agile methodology to develop capabilities based on business needs.

Position Responsibilities

  • Develop and scale algorithms and mathematical models that significantly improve our current ability to make decisions based on qualitative and quantitative data
  • Identify and articulate the value that can be derived from analytical models
  • Work as a team player to improve data science methods and be a positive influence on team advancement
  • Measure and continue to improve the predictive accuracy of models
  • Continuously improve departmental operations and add new analytical methodologies and techniques
  • Educate the organization on new analytical techniques and their applicability within Nike
  • Accessing and extracting data from Nike systems and support continued evolution of the Nike data capabilities
  • Develop the strategy to develop a wide variety of services, tooling, & infrastructure that aims to support any algorithm development here at GPMA: e.g. A/B Testing, ML workflows, and ML applications
  • Partner with data science to understand the workflows and identify the opportunities for the needed services, tools and infrastructure
  • Partner with our technology teams to ensure that we are developing the right services, tools and infrastructure



  • Degree in a quantitative field - Statistics, Economics, Advanced Analytics, Operations Research, Applied Mathematics, Decision Sciences, Computer Science, Engineering, Science, or other relevant quantitative fields
  • Strong coding skills including developing production quality code for analytic capabilities
  • Knowledge of tools and services used to scale data science models
  • Proven capability in deployment of solutions leveraging methodologies like time series methods, econometric methods, machine learning algorithms, etc.
  • Very strong technical and analytical skillset in one or more data science languages like -
  • Proven track record of working cross functionally to develop innovative advanced solutions using agile methodologies
  • Ability to communicate in simple terms algorithms that are being developed
  • Experience working with large and complex data sets that are sometimes incomplete or inconsistent
  • Demonstrated ability to work with AWS big data platform leveraging Databricks, Qubole, EMR, Snowflake, etc.
  • Demonstrated ability to distribute and parallelize algorithms

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.

Job ID 00399138


Posted: 2018-10-10 Expires: 2018-12-09

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Senior Data Scientist - Nike

Beaverton, Oregon

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