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Data Science Co Op Jobs in Seattle, WA (NOW HIRING)

CENTRAL CO-OP INC

Accounts Payable Clerk

Seattle, WA

$24 - $26/hr

Central Co-op is looking for a detail-oriented Accounts Payable Clerk to join our Finance team ... Prepare accounting batches through invoice data entry and generate supporting backup reports

New

CENTRAL CO-OP INC

Accounts Payable Clerk

Seattle, WA · On-site

$24 - $26/hr

Central Co-op is looking for a detail-oriented Accounts Payable Clerk to join our Finance team ... Prepare accounting batches through invoice data entry and generate supporting backup reports

New

Databricks

Principal Data Scientist

Seattle, WA · On-site +1

Raise the communication bar across the entire Data Science organization by setting standards, coaching teams, and co-authoring key executive-facing deliverables. Make every DS team better at telling ...

Weyerhauser Co

Data Scientist

Seattle, WA · On-site

About the Role Grasp the opportunity to apply data science to the physical world of manufacturing! We are seeking an experienced Data Scientist to provide technical leadership and passionate about ...

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All JobsData Science Co Op JobsData Science Co Op Jobs in Seattle, WA

Data Science Co Op information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do data science co op jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science co op in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on as a data science co op?

As a Data Science Co Op, you may be involved in a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or generating data visualizations to support business decisions. You’ll often work alongside more experienced data scientists, analysts, and cross-functional teams to collaboratively solve real-world problems using data. This role typically emphasizes hands-on learning and practical application of analytical techniques, offering a great opportunity to develop your technical and communication skills. In addition, you may participate in regular meetings, present findings, and contribute to ongoing research or product development initiatives.

What are the key skills and qualifications needed to thrive in the data science co op position, and why are they important?

To succeed as a Data Science Co Op, you should have a solid understanding of statistics, data analysis, and programming, typically gained through coursework or relevant experience in computer science, mathematics, or related fields. Familiarity with tools such as Python or R, SQL databases, and data visualization libraries is highly valuable, and experience with machine learning platforms or certifications can be advantageous. Effective communication, problem-solving, and a collaborative mindset help you excel in team-oriented, fast-paced environments. These competencies are crucial for analyzing complex datasets, delivering actionable insights, and supporting business decision-making.

What is a data science co op?

A Data Science Co-Op is a temporary, structured work experience program for students or early-career professionals to apply data science skills in a real-world setting. Co-Ops typically last several months and involve tasks such as data analysis, machine learning model development, and visualization. Participants work closely with data teams, gaining hands-on experience with tools like Python, SQL, and cloud platforms. Unlike internships, Co-Op positions may be full-time for a semester and often offer deeper engagement with projects. This experience helps build technical skills, industry knowledge, and professional connections for future career opportunities.

What are the most commonly searched types of Data Science jobs in Seattle, WA?

The most popular types of Data Science jobs in Seattle, WA are:

What are popular job titles related to Data Science Co Op jobs in Seattle, WA?

For Data Science Co Op jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Science Co Op jobs in Seattle, WA look for?

The top searched job categories for Data Science Co Op jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Science Co Op jobs?

Cities near Seattle, WA with the most Data Science Co Op job openings:

Data Science Co Op jobs near you
Infographic showing various Data Science Co Op job openings in Seattle, WA as of August 2026, with employment types broken down into 62% Full Time, 25% Part Time, and 13% Contract. Highlights an 100% In-person job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Senior Manager, Merchandising Analytics

REI (Recreational Equipment Inc.)

Seattle, WA • On-site

Full-time

Posted 15 days ago

REI rating

7.6

Company rating: 7.6 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

62nd of 733 rated retailers

Job description

Overview
REI Co-op works together to find better ways to work. The goal is to help people enjoy the outdoors. Working for the co-op means doing your best work. Support is given to help you live your best life. You also help shape the future of the outdoors for people and the planet.
This role contributes to REI's success by owning the data analytics and data science efforts for the Merchandising Product organization that spans the enterprise. Leading a team of Merchandising analysts, the individual in this role will work within Merchandising and across the co-op to develop and apply advanced analytics techniques designed to identify product and assortment optimization opportunities. Near-to-long-term strategies will be influenced by this role and their team by way of the data-driven methodologies and analytics workstreams and assets they will be accountable for creating and disseminating. Critical co-op ambitions like market share and customer growth, assortment productivity, activity initiatives, and the like will be informed and influenced by this role's contributions and thought leadership.
The Sr Manager, Enterprise Product Analytics, will collaborate with cross-functional leaders and team across the co-op including those in Strategy, IVC, Customer Planning, Finance, and IT to ensure data and analyses are developed, consumed, and articulated in ways that enable meaningful action within functional working teams. Analytics developed by this role and their team will be designed to illuminate opportunities to drive profitable business growth. This role will act as a trusted partner in the continuous evolution of REI's data science platform and technology through partnership with IT and other data and analytics divisions. They will be accountable for workflow improvement processes that enable product delivery and analytical modeling at scale. Models and acts in accordance with REI's guiding values and mission.
Responsibilities and Qualifications
Leading the Way
  • Identifies and communicates key responsibilities and practices to ensure the organization promotes a successful attitude, confidence in leadership, and teamwork to achieve business results.
  • Supports the implementation of company programs, procedures, methods, and practices to promote key Co-op initiatives and strategies.
  • Challenges and inspires employees to achieve business results.
  • Ensures employees adhere to legal and operational compliance requirements.
  • Oversees training and development of employees directly and indirectly managed and makes effective staffing decisions.
  • Nurtures and supports team-member career growth aspirations. Conducts and ensures the completion of performance reviews.
  • Provides coaching, direction, and leadership support to employees to achieve department, company and customer results.
  • Ensures team of direct reports are kept current regarding REI's strategic initiatives and best practices.
  • Responsible for hiring and building a team that exemplifies REI's Values in Action.
  • Establishes and maintains visibility within the department.
  • Monitors operational statistics, reports trends, variances, issues, and takes appropriate action.
  • Understand REI strategic plan and linkages to product and assortment analytics and support implementation of solutions that drive results.
  • Contribute to the near-and-long-term Merchandising product and assortment strategic and business plans.
  • Understand, fully use, and continuously improve processes and systems.
  • Monitor and digest competitive industry analytics trends.

Responsibilities
  • Deliver data analysis and data science insights and implications through the product and assortment lenses that supports and guides strategic thinking and systemic performance.
  • Create analytical models and decision-making frameworks that drive product and assortment optimization in an integrated, omnichannel capacity.
  • Lead a team of advance analyst professionals, focusing on both business results and employee mentoring and professional development.
  • Manage the Merchandising product data warehouse from a business perspective to define data sources, metrics, dimensions, and dashboards to support regular reporting and ad hoc inquiry. Collaborate with the IT organization to ensure good data hygiene and integration across sources.
  • Develop and implement roadmap for data mining and quantitative methods to advance product and assortment optimization, productivity measurement, market share growth opportunity, and other key business workstreams and initiatives.
  • Partner with cross-functional teams to leverage product and assortment intelligence to drive and optimize the customer experience and revenue growth opportunities through operations-focused tactics and through go-to-customer methods.
  • Engage and influence divisional leaders and executives with data-driven strategic recommendations based on advanced analytics.
  • Lead and implement development of Merchandising product and assortment test and initiatives measurement.

Qualifications
  • MS required, graduate degree in quantitative fields of Mathematics, Statistics, Econometrics, Operations Research, Industrial Engineering or other Engineering field preferred
  • 10+ years of work experience in data analysis or data science
  • 5+ years demonstrated leadership/management skills with reporting analytics/data science functions
  • 10+ years of experience and expertise developing, testing, and deploying data science and optimization models and visualizations both locally and in a hybrid environment. Proficiency in SQL and at least one programming language such as R or Python
  • Proficiency in SQL and at least one programming language such as R or Python
  • Comfortable and effective when communicating with director and VP-level business leaders. Strong ability to understand business and operations problems and translate to research initiatives
  • Experience managing/leading analysts in delivery of predictive and/or prescriptive models at speed/scale
  • Strong time management and prioritization skills with ability to manage multiple projects simultaneously

Pay Range
$125,300.00 - $212,900.00 per year

What REI employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About REI

Sourced by ZipRecruiter

REI, or Recreational Equipment, Inc. is a widely respected retail company based in Kent, WA, US. The company caters to the outdoor recreation industry, providing a complete range of high-quality, sustainable gear and sporting goods. Founded in 1938 by avid mountaineers, it was built on the passion for exploring the outdoors and offers products for camping, hiking, cycling, fitness, paddle sports, snow sports, and more. REI also conducts outdoor adventure trips and classes. Its mission is to inspire, educate, and outfit for a lifetime of outdoor adventure and stewardship. For decades, REI has stood by its core values of authenticity, quality, service, respect, integrity, and balance. Proudly, the company has made Fortune Magazine's list of "100 Best Companies to Work For" every year since the list's inception.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Kent, WA, US

Year founded

1938

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