Senior Data Scientist, People Analytics


Beaverton, OR, USA

Full time

Jun 3

This job is no longer accepting applications.

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.

NIKE, Inc.’s uncompromising focus on human potential extends to its workforce. Nike Human Resources teams help attract, retain, and reward the world’s most innovative people by creating programs to help them thrive. They accelerate company growth as stewards of culture, organizational effectiveness, talent and change. The global Human Resources community includes experts in talent planning, talent acquisition, talent development, compensation and benefits, employee relations and more. Together, they develop a motivated, diverse and engaged global team. 


We’re looking for a Senior Data Scientist to join the People Research and Data Science team. 

The skills you will bring to this role need to include strong technical expertise within the data science tool kit. We are especially looking for data scientists with experience in causal modeling, machine learning, natural language processing and network analytics. Our data science infrastructure will be preference building in Python and/or R as well as leveraging the machine learning and data production pipeline within OneModel. Solid experience with Python is preferred as we will expect our senior data scientists to technically mentor and lead other more junior data scientists. The ability to stretch to pick up new techniques and packages will be a critical skill in this role. 

Experience within a People Analytics team or working on related organizational use cases is preferred but not necessary. We also have a strong preference for data scientists with experience in building scalable products as we strive to put the power of data science into the hands of the many decision makers across Nike. 


In this role you will be primarily responsible for technically executing on a diverse array of data science and statistical modeling projects across the company related to productivity, attrition, collaboration, networks, employee performance, culture and other organizational topics. You will be engaging in projects and creating projects that begin with the business impact variable first and then create models that help understand how employee attributes, behaviors and actions influence these outcomes. 

Within our team tasked with executing deep and sophisticated research projects on the cutting edge of both our data foundation and behavioral understanding, the intent for this senior data scientist role is to relieve you from data munging, reporting and data engineering tasks to focus on being the core engine of creating a high volume of impactful projects and product. Your ability to take a lead role in coordinating these activities across the team including more junior data scientists, data engineers will be critical to your success. 


This role sits on the People Research and Data Science team and will ultimately report to the Director of Data Science. In the interim you will report directly to the head of People Research and Data Science. Internal to the PR&DS team, you will work closely with our PhD-level Principal Researchers who will be responsible for working with senior leaders to identify high impact projects and products, provide domain expertise and overall direction for each engagement. You will also work with other data scientists on a scrum basis depending on the needed time and skill set to deliver the project. In addition, you will work closing with individuals from the Business Insights & Solution team who is responsible for our scalable data warehouse, productionized data engineering and delivery products. You will also have the support of Nike’s growing centralized data science center of excellence and community of practice. 



- Bachelor's degree in Applied Math, Econometrics, Computer Science or other quantitative field. 

- One of the following alternatives may be accepted: 5-6 years in advanced analytics team with validated mastery of the data science tool kit. 

- Demonstrated fluency in a diverse set of quantitative tool sets. These may include but are not limited to: traditional frequentest statistics (GLM and related families, machine learning techniques (eg clustering, random forest, neural networks, machine vectors etc.), Monte Carlo and other simulation techniques, forecasting, Bayesian statistical approaches etc. 

- Expertise or deep familiarity Python or R 


- PhD or Masters in a quantitative field 

- Experience leading analysts in a team environment 

- Experience with agile development methodologies 

- Experience in HR, People Analytics, or grounding in social science 

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.

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