Nike: Senior Data Scientist, Integrated Analytics, Global Consumer Knowledge

Work across Nike consumer facing businesses to define and implement measurement strategies, instrument and analyze consumer behavior, and inform Nike global strategy.

Nike Company: Nike
Location: Portland, OR

Nike does more than outfit the world's best athletes. We are a place to explore potential, obliterate boundaries, and push out the edges of what can be. Nike's Global Consumer Knowledge Center of Excellence is responsible for building and deepening a holistic view of Nike's consumers through data and analytics.

We are looking for a senior statistician to work across Nike's consumer facing businesses to define and implement measurement strategies, instrument and analyze consumer behavior, and inform Nike's global strategy. The ideal candidate will have a deep passion for applying advanced analytic approaches, an eagerness to dig into the data, and a vision for turning disparate data streams into a cohesive view of our global consumers.

Key responsibilities:
  • Leading the creation of a comprehensive view of relevant consumer behaviors, incorporating a wide variety of signals, data types, and sources
  • Assessing the potential usefulness, validity, and rigor of new data sources or analytic approaches and the capabilities of potential partners
  • Proposing measurement strategies to translate business goals into KPIs across Nike's consumer-facing businesses
  • Executing on projects utilizing advanced analytic approaches in order to inform Nike's strategy
  • Partnering with Nike's technical and legal teams to design and improve consumer data infrastructure


  • Degree in statistics, econometrics, applied math, or a quantitative behavioral sciences field
  • Advanced degree (MA or PhD) strongly preferred but not required

  • At least 8 years in an applied analytics or quantitative research role
  • Experience in applying advanced analytics to inform product or marketing strategy and/or to develop and improve digital services is a plus

Required Skills
  • A deep understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data mining techniques
  • Experience in the valuation and definition of new consumer measures, and the translation of business goals into quantitative metrics
  • Experience in working with large structured and unstructured data sets; experience working with Hadoop environment a plus
  • Fluency with SAS or R; additional experience with Python or other programming languages preferred
  • Ability to independently execute large research projects with multiple business stakeholders on firm deadlines
  • An understanding of key topics and literature in marketing science, data science, and applied analytics

Apply online, Job ID: 00169497.