1

Nike Data Science Jobs (NOW HIRING)

Senior Product Manager

Beaverton, OR · On-site

$131K - $173K/yr

WHO YOU'LL WORK WITH As a Senior Product Manager, you will report to the Director of Product for Nike's Activity Apps & Research. You will partner closely with design, engineering, data science ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... Data Science tools and other emerging technologies; embrace and embody Nike's core values (Maxims) in work and interactions with peers and stakeholders; communicate effectively, building trust and ...

... 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 ...

New

Must have a Master's degree in Science in Engineering, Biomedical Engineering, Chemical Engineering ... Data analysis Apply at www.Nike.com/Careers (Job# R-84910) #LI-DNI We offer a number of ...

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 ...

Software Engineer - NIKE USA Inc. - Beaverton, OR. Build and deliver scalable data and analytics ... using scientific analysis, machine learning techniques, and mathematical models to predict and ...

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 ...

New

Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike, and many others. The Opportunity ... Science, or a related discipline * 5-7 years of experience in analytics, data science, or ...

Senior Textile Developer

Beaverton, OR · On-site

$56.75 - $75/hr

Nike is looking for a Senior Textile Developer who brings equal parts creativity and technical ... Bachelor's degree in Textile Engineering, Apparel Science, Design, or related field. Will accept ...

Employer will accept a Bachelor's degree in Information Technology, Computer Science and 5 years of ... Nike.com/Careers (Job # R-82625) #LI-DNI We offer a number of accommodations to complete our ...

next page

Showing results 1-20

Nike Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do nike data science jobs pay per year?

As of Jul 21, 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.

Can data scientists make $300k?

Data scientists at companies like Nike can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and leadership roles. Compensation varies based on location, industry, and individual expertise, with senior positions and those in high-cost areas more likely to reach this level.

What are the key skills and qualifications needed to thrive in the Nike Data Science position, and why are they important?

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.

Is 40 too late for data science?

Data science is a field open to individuals of various ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, as well as gaining practical experience through projects or certifications. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

Is it hard to get hired by Nike?

Getting hired as a Data Scientist at Nike can be competitive, as the company looks for candidates with strong analytical skills, experience with data tools like Python or R, and relevant educational backgrounds. The hiring process typically involves multiple interviews and technical assessments, making preparation important.

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.

What is the salary of data scientist in Nike?

The average salary for a data scientist at Nike is approximately $100,000 to $120,000 per year, depending on experience, location, and skill set. Entry-level roles may start lower, while experienced data scientists with advanced skills in machine learning and data analysis tools can earn higher salaries.
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:
Infographic showing various Nike Data Science job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Director, Product Management, Activity & Research

Director, Product Management, Activity & Research

Nike

Beaverton, OR • On-site

$242K - $253K/yr

Full-time

Posted 8 days ago


Nike rating

7.6

Company rating: 7.6 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers


Job description

WHO YOU'LL WORK WITH
As the Director of Activity & Research, you will report to the Senior Director of Product for Marketing Technology (MarTech). You will lead product strategy across Nike Run Club (NRC), Nike Training Club (NTC), and the product partnership with the Nike Sport Research Lab (NSRL). You will partner closely with design, engineering, data science, research scientists, biomechanics experts, sport experts, trainers, coaches, marketing, and cross-functional business leaders to advance Nike's activity apps while transforming emerging research, athlete insight, and early-stage capabilities into reliable, scalable, user-facing features that help consumers and athletes achieve their goals.
WHO WE ARE LOOKING FOR
You will have:
  • Bachelor's degree in business, product management, computer science, data science, sports science, or a related field. Will accept any suitable combination of education, experience or training
  • 9+ years of product management, digital product, consumer mobile app, sport technology, research translation, or innovation leadership experience, including 5+ years directly leading and developing teams.
  • Deep passion for sport, movement, and helping athletes achieve their goals through research-backed, intuitive, and motivating digital experiences.
  • Proven ability to define multi-year product strategy, make portfolio-level prioritization trade-offs, influence senior leaders, and align cross-functional teams across product, design, engineering, research, data science, marketing, sport, privacy, and operations.
  • Strong ability to translate athlete insights, advanced research, behavioral data, coaching needs, emerging technology, and AI/ML opportunities into scalable consumer product experiences, roadmaps, requirements, and success metrics.
  • Experience leading consumer-facing mobile products or platforms that improve onboarding, habit formation, personalization, motivation, coaching, community, activity tracking, performance feedback, or goal progression.
  • Excellent executive communication and product storytelling skills, with the ability to translate complex research and technical concepts into clear narratives and actionable decisions.

Preferred Qualifications:
  • Experience with digital fitness, wellness, coaching, activity tracking, wearable integrations, training plans, guided content, challenges, achievements, or community-based motivation features.
  • Familiarity with Nike Run Club, Nike Training Club, Nike Sport Research Lab, or comparable products and organizations that combine sport science, coaching, content, community, personalization, performance insights, and progress tracking to support athlete goals.

WHAT YOU'LL WORK ON
As the Director of Activity & Research, you will define and lead the product vision for Nike's activity ecosystem-advancing NRC and NTC while building a stronger bridge between Nike Sport Research Lab insights and consumer-facing digital experiences. You will help determine how Nike turns advanced research, athlete learning, movement science, coaching methodology, sensor data, and emerging AI/ML capabilities into trustworthy, motivating, and scalable features that help athletes start, train, improve, recover, and reach their goals.
Product Strategy, Research Translation & Portfolio Leadership
  • You will own and drive the multi-year product strategy and roadmap for NRC, NTC, and NSRL-enabled digital capabilities in close partnership with design, engineering, data science, research scientists, sport experts, marketing, and business stakeholders-translating athlete needs, research priorities, and business goals into portfolio strategy, investment priorities, measurable outcomes, and delivery plans.
  • You will identify opportunities to improve how athletes discover workouts and runs, follow training plans, receive coaching guidance, track activity, understand progress, respond to performance insights, build habits, participate in challenges, and celebrate achievements.
  • You will lead senior stakeholder engagement-providing regular updates, shaping investment recommendations, clarifying trade-offs, and ensuring product decisions balance athlete value, scientific integrity, brand impact, business outcomes, technical feasibility, privacy, responsible AI, and operational readiness.

Product Discovery, Experimentation & Delivery Leadership
  • You will lead product discovery and definition across activity and research initiatives-clarifying athlete journeys, research hypotheses, opportunity spaces, requirements, acceptance criteria, readiness gates, risk considerations, and backlog priorities across related teams.
  • You will shape experiences that connect coaching, training plans, guided runs, workouts, activity tracking, wearable and sensor data, personalized recommendations, performance feedback, achievements, and community challenges into simple, motivating journeys for athletes at every level.
  • You will collaborate with globally distributed teams-driving alignment across time zones, coordinating dependencies, supporting release readiness, and ensuring research-backed product capabilities are launched, measured, trusted, maintained, and continuously optimized for athletes across markets.

Research Commercialization & Capability Scaling
  • You will create repeatable pathways for moving promising NSRL research and prototypes from concept to pilot to production-defining validation criteria, athlete testing needs, product readiness, measurement plans, and long-term operating models.
  • You will help teams distinguish between exploratory research, experimental product bets, and production-ready capabilities, ensuring the right level of rigor, governance, privacy review, and technical investment at each stage.
  • You will champion a feedback loop between athletes, product teams, and research partners so Nike can continuously learn from real-world usage and use those learnings to improve future coaching, training, performance, recovery, and motivation experiences.

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.

What Nike employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom