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Nike Data Science Jobs (NOW HIRING)

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer ...

Nike

Lead, Digital Product Design

Beaverton, OR · On-site

... engineering, data science, marketing, sport experts, trainers, coaches, and cross-functional business partners to craft a new digital fitness offering, pioneering Nike's next big competitive ...

Nike

Lead Technical Product Manager

Beaverton, OR · On-site

$173K - $200K/yr

... data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a ...

Nike

Manager, Software Engineering

Beaverton, OR · On-site

You will work closely with Product Managers, Principal Engineers, Architects, Data Scientists, Operations teams, and business stakeholders to deliver technology solutions that support Nike's product ...

Nike

Lead Engineer, Activity Apps

Beaverton, OR · On-site

$106K - $140K/yr

Team NIKE, Inc. does more than outfit the world's best athletes. It's a place where passionate ... Bachelor's degree in Computer Science, Engineering, or equivalent experience * Expert proficiency ...

Nike

Lead Demand Planner, Global Jordan

Beaverton, OR · On-site

WHO WE ARE LOOKING FOR Nike is looking for a Global Jordan Lead Planner who can build clear, end-to ... Strong Excel, statistical forecasting, data science, communication, problem-solving and critical ...

Nike

Senior Principal Software Engineer

Beaverton, OR · On-site

$130K - $180K/yr

... of Nike's digital product merchandising & creation capabilities. WHO WE ARE LOOKING FOR We are ... Excellent computer science fundamentals including algorithms, data structures, and modern cloud ...

Nike

Software Engineer

Beaverton, OR · On-site

Software Engineer- NIKE, Inc. - Beaverton, OR. Design, configure, enhance, and support enterprise ... Support data pipelines and integrations that allow ML driven insights, such as data validation ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Senior Software Engineer - NIKE, Inc. - Beaverton, OR. Develop, code, configure and test software ... Must have a Master's degree in Computer science, Computer Information Systems, Information ...

Nike

Software Engineer II

Beaverton, OR · On-site

WHO YOU WILL WORK WITH You'll be part of Nike's Global Technology organization, reporting to the ... Bachelor's degree in Computer Science or or a related field. Will accept any suitable combination ...

Nike

Lead Innovation Engineer, Global Accessories

Beaverton, OR · On-site

$106K - $140K/yr

... Nike Innovation organization. The team operates at the intersection of science, design, and sport ... They use data, testing, and athlete insight to guide decisions, and they communicate complex ideas ...

Nike

Lead, Strategy Manager, Corporate

Beaverton, OR · On-site

The Corporate Strategy Manager will support Nike's Senior Leadership Team in the development of ... What You Bring: • Bachelor's degree in Business Administration, Economics, Applied Science or ...

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Nike Data Science information

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$37.5K

$122.7K

$196.5K

How much do nike data science jobs pay per year?

As of Aug 13, 2026, the average yearly pay for nike data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nike data science position?

To thrive as a Nike Data Science professional, you need a solid foundation in statistics, machine learning, and programming (often with a relevant degree in data science, computer science, mathematics, or a related field). Proficiency in technical tools such as Python, R, SQL, and cloud computing platforms, as well as familiarity with big data frameworks and data visualization tools, is highly valued. Strong communication, problem-solving, and collaboration skills help you present insights and work effectively within cross-functional teams. These abilities are crucial for using data strategically to drive decisions and innovation across Nike’s diverse, data-rich business environment.

What is a Nike data science job?

A Nike Data Science job involves using data-driven insights to improve business decisions, enhance customer experiences, and optimize product performance. Data scientists at Nike work with large datasets, machine learning models, and statistical techniques to uncover trends and patterns. They collaborate with teams across marketing, supply chain, and product innovation to drive strategic initiatives. Strong programming skills in Python or R, knowledge of SQL, and experience with cloud platforms are often required.

What is the typical work environment and team structure for a data science role at Nike?

Nike Data Science roles are typically part of dynamic, cross-functional teams that include data engineers, business analysts, product managers, and designers. Data scientists often work in open, collaborative settings—both in-person and remotely—where they share findings, brainstorm solutions, and iterate on projects with colleagues from diverse backgrounds. A typical day may involve analyzing large datasets, developing predictive models, and presenting actionable insights to stakeholders across marketing, product, and supply chain functions. The fast-paced environment encourages innovation, continuous learning, and offers ample opportunities for professional growth and advancement.

More about Nike Data Science jobs

What cities are hiring for Nike Data Science jobs?

Cities with the most Nike Data Science job openings:

What states have the most Nike Data Science jobs?

States with the most job openings for Nike Data Science jobs include:

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Nike Data Science jobs near you
Infographic showing various Nike Data Science job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 22 days ago

Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers

Job description

LEAD, DATA ENGINEER - NIKE
[Beaverton, OR - USA]
WHO YOU'LL WORK WITH
Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.
WHO WE ARE LOOKING FOR
We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.
We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.
  • Bachelor's degree or equivalent combination of education, experience, or training
  • 8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark
  • Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)
  • Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices
  • Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication

Preferred qualifications:
  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments
  • Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)

WHAT YOU'LL WORK ON
You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.
  • Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&I
  • Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making
  • Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization
  • Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale
  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows
  • Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

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.

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