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Nike Data Science Jobs in Oregon (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

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 ...

Nike

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 ...

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

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

Footwear Material Sourcing Lead

Beaverton, OR · On-site

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 ...

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

Software Engineer

Beaverton, OR · On-site

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 ...

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 Process Analyst

Beaverton, OR · On-site

Lead Process Analyst - NIKE, Inc. - Beaverton, OR. Extract meaning from data using specialized ... Employer will accept a Bachelor's degree in Computer Science, Supply Chain Management, Computer ...

Nike

Manager, Software Engineering

Beaverton, OR · On-site

... Nike's Merchandising domain. We are investing in building modular, configurable and "API-First ... Experience with implementing and integrating AI, Machine Learning and related data solutions ...

Nike

Senior Principal Software Engineer

Beaverton, OR · On-site

$130K - $180K/yr

Ensure alignment with Nike enterprise architecture, data, security, and compliance standards ... Bachelor's degree in computer science, information systems or related field. Will accept any ...

Nike

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 ...

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All JobsNike Data Science JobsNike Data Science Jobs in Oregon

Nike Data Science information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do nike data science jobs pay per year?

As of Jul 28, 2026, the average yearly pay for nike data science in Oregon is $129,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 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.
What are popular job titles related to Nike Data Science jobs in Oregon? For Nike Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Nike Data Science jobs in Oregon look for? The top searched job categories for Nike Data Science jobs in Oregon are:
Nike Data Science jobs near you
Infographic showing various Nike Data Science job openings in Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $129,770 per year, or $62.4 per hour.
Lead Data Engineer

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 5 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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