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Data Science Manager Jobs in Beaverton, OR (NOW HIRING)

... science, statistics, or a related quantitative field . This role will be responsible for ... Data Management Quality * Query, clean, transform, and validate data from multiple systems and data ...

New

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary At PwC ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Demonstrated ability to work independently, manage complex data challenges, and communicate ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

Demonstrated ability to work independently, manage complex data challenges, andcommunicate ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred.

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Position Summary The Data Engineer role on the Data Science Team (DST) is responsible for designing ... Solid understanding of data management principles, relational data structures, and data modeling ...

Demonstrated ability to work independently, manage complex data challenges, and communicate ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

Demonstrated ability to work independently, manage complex data challenges, and communicate ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

... Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience ... You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are ...

Showing results 21-40

Data Science Manager information

See Beaverton, OR salary details

$32.7K

$102.6K

$181.6K

How much do data science manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science manager in Beaverton, OR is $102,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,700.00 and $132,500.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Beaverton, OR? The most popular types of Data Science jobs in Beaverton, OR are:
What are popular job titles related to Data Science Manager jobs in Beaverton, OR? For Data Science Manager jobs in Beaverton, OR, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Beaverton, OR look for? The top searched job categories for Data Science Manager jobs in Beaverton, OR are:
What cities near Beaverton, OR are hiring for Data Science Manager jobs? Cities near Beaverton, OR with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Beaverton, OR as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $102,578 per year, or $49.3 per hour.

Principal Data Scientist

Columbia Sportswear Company

Portland, OR • On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Columbia Sportswear rating

7.0

Company rating: 7.0 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

18th of 104 rated fashion retailers


Job description

Location: Hybrid role based out of headquarters near Portland, Oregon. Employees are expected to work onsite four days per week, with the possibility of adjustments based on business needs.

About the Position

The Principal Data Scientist is a member of the Data & Analytics (D&A) team within Columbia Sportswear’s Digital Technology group. This role supports the delivery of innovative analytical solutions to address strategic challenges and opportunities across the organization, with a focus on Direct-to-Consumer initiatives.

Responsibilities
  • Design and build scalable models that leverage best‑in‑class statistical and machine‑learning techniques for integration into analytics workflows across the business.
  • Collaborate with D&A teammates and business partners to translate business requirements into advanced analytics solutions.
  • Conduct exploratory data analyses and data mining to uncover underlying patterns, trends, and behaviors, highlighting opportunities that drive improved business performance across brands, regions, and channels.
  • Audit existing analytical processes and provide guidance on implementing advanced machine‑learning capabilities according to industry standards.
  • Under minimal supervision, establish and execute plans to build, implement, and maintain predictive models using available tools and programming languages, managing the full project lifecycle.
  • Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine‑learning workflows.
  • Translate analytical findings and statistical models into business impact metrics and actionable recommendations.
  • Drive best practices for applying and deploying Data Science at scale within the organization.
Qualifications
  • Minimum Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field; a graduate degree is strongly preferred.
  • Minimum 3 years of experience as a Data Scientist, Statistician, or in a comparable role.
  • Hands‑on quantitative experience in data mining, predictive modeling, machine learning, and statistical programming with structured and unstructured data.
  • Demonstrated capability in rapid prototyping and developing end‑to‑end solutions using complex algorithms.
  • Broad understanding of core statistical and machine‑learning techniques.
  • High proficiency in SQL and at least one statistical programming language (e.g., R, Python, SAS).
  • Proficiency in data visualization tools; Power BI preferred.
  • Experience with the Microsoft Stack is preferred.
  • Strong communication skills—both written and verbal—with the ability to work across cross‑functional teams, including IT, and manage partner expectations.
Benefits
  • 401(k) plan with generous company match.
  • Comprehensive medical, dental, vision, and life insurance; disability and flexible spending accounts; health savings account.
  • Voluntary benefits including accident, critical illness, and hospital indemnity coverages.
  • Employee Assistance Program (EAP) providing free, confidential 24/7 counseling services.
  • Extensive wellness programs, employee discounts, and generous paid time off.
  • Opportunity to attend and support company-owned outdoor events and initiatives.
EEO Statement

Columbia Sportswear Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Columbia Sportswear is committed to working with and providing reasonable accommodation for individuals with disabilities. For additional information, consult EEOC Guidelines and notify your recruiter if you require an accommodation during the application process.

Contact for Accommodations

If you need an accommodation or adjustment to successfully complete the application, please contact AskHR@columbia.com with the subject: "Applicant Assistance Requested."

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About Columbia Sportswear

Sourced by ZipRecruiter

Columbia Sportswear Company and our portfolio of brands, including Columbia, SOREL, Mountain Hardwear and prAna, know a thing or two about adventures. After all, we've been on one since 1938, working to perfect the art of enjoying the outdoors. Behind everything we make is an employee who's found that the greatest adventure starts with joining a company that strives to do the right thing.

Industry

Apparel and accessories stores

Company size

5,001 - 10,000 Employees

Headquarters location

Portland, OR, US

Year founded

1938

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