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Data Science Degree Jobs in Oregon (NOW HIRING)

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the ... Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering or other ...

$90K - $130K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, Data Analytics, or a related field. * 5+ years of experience developing automated processes using Python, DAX, Power Query ...

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field; Master's preferred * 2-5+ years of experience in data science, machine learning, or ...

... data science services across our rapidly evolving data platform. You'll work end-to-end on ... degree of autonomy * Work closely with Product, GTM, Data, and Engineering to turn models into ...

... data science services across our rapidly evolving data platform. You'll work end-to-end on ... degree of autonomy * Work closely with Product, GTM, Data, and Engineering to turn models into ...

Experience: 4-5 years of professional data science experience. 2-3 years of experience with an advanced degree. * Education: Bachelor's degree in a highly quantitative field (Statistics, Economics ...

OR · On-site

Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Economics, or a related field. * Prior experience at a mobile-first company, with deep understanding of mobile ...

Experience: 4-5 years of professional data science experience. 2-3 years of experience with an advanced degree. * Education: Bachelor's degree in a highly quantitative field (Statistics, Economics ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

Data Scientist

$96K - $134K/yr

... degree OR 4 years of applicable cumulative job specific experience required. What additional requirements you'll need * Education: A Bachelor's, Master's, or PhD in Data Science, Computer Science ...

Showing results 21-40

Data Science Degree information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do data science degree jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science degree 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.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.
What cities in Oregon are hiring for Data Science Degree jobs? Cities in Oregon with the most Data Science Degree job openings:
Infographic showing various Data Science Degree job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

Principal Data Scientist

Columbia

Portland, OR

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago


Job description

This position is designated as a hybrid role based out of our headquarters near Portland, Oregon. The current expectation is for employees to work onsite four days per week, subject to change based on business needs. This in-office requirement may be adjusted at the discretion of the company.

OUTGROWN YOUR OWN BACKYARD? COME PLAY IN OURS.

At Columbia, we're as passionate about the outdoors as you are. And while our gear is available worldwide, we're proud to be based in the Pacific Northwest, where natural wonders are our playground.

Every product we make and every task we undertake is inspired by the famous words of our founder Gert Boyle: "It's perfect. Now make it better." As pioneers of relentless improvement, we are constantly evolving.

We believe the outdoors is ours to protect and strive to keep our planet healthy. We believe in empowering people to experience the outdoors to the fullest.

And we believe in you.

ABOUT THE POSITION

Although we're an apparel and footwear-focused company, technology is central to everything we do. Columbia Sportswear's Digital Technology (CDT) group enables an IT infrastructure and applications across four global brands, a global supply chain, and 500+ geographically dispersed stores. These teams support in-store, mobile, and data platforms to enhance customer interface and service in an ever-evolving industry.

The Principal Data Scientist is a member of the Data & Analytics (D&A) team and will support the delivery of innovative analytical solutions to help answer the organization's pressing challenges and opportunities. This role will focus on developing end-to-end solutions, from prototyping to production-ready complex algorithms. The candidate will utilize advanced analytics to solve complex business problems and integrate findings into business processes. This role will have opportunities to engage across the organization with an area of focus in Direct-to-Consumer needs.

HOW YOU'LL MAKE A DIFFERENCE

  • Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business
  • Collaborate with other members of the D&A team and business partners in translating business requirements that can be answered with advanced analytics
  • Conduct exploratory data analyses and data mining to understand underlying patterns, trends and behavior to highlight opportunities through data to significantly improve 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. Manage full life cycle of projects
  • 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 measures of business impact and actionable recommendations
  • Drive best practices in applying and deploying Data Science at scale

YOU ARE

  • Aptitude to synthesize and create a cohesive picture from a wide variety of information sources
  • Solid time-management skills and able to work on multiple tasks or projects concurrently
  • Extremely organized, detail-oriented, resourceful and flexible
  • Strong interpersonal, written, communication and relationship-building skills
  • Able to work and collaborate with cross functional teams, including IT, and manage partner expectations
  • A strong communicator that can demonstrate an ability to work with all ranges of an organization to advance Columbia's Data Science practice.

YOU HAVE

  • Minimum Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering or other relevant quantitative field, with a Graduate degree strongly preferred
  • Minimum 3 years of experience as a Data Scientist, Statistician or related position
  • Hands-on quantitative experience to include data mining, predictive modeling, machine learning, statistical programming, working with both structured and unstructured data
  • Demonstrated capability in rapid prototyping and developing end-to-end solutions using complex algorithms
  • Broad understanding of core statistical and ML techniques
  • Highly proficient in SQL and other statistical programming languages, e.g., R, Python, SAS
  • Proficient in the use of visualization tools, Power BI preferred
  • Experience with Microsoft Stack preferred

#LI-JD1

This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.

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. https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf. If you need reasonable accommodation because of a disability for any part of the employment process, please notify your recruiter.At Columbia Sportswear Company, we're proud to offer regular full-time employees a benefits package that includes a variety of services and products to help make your life and work more rewarding. Our benefit programs contribute to overall employee well-being by aligning those programs with the fundamental elements of well-being: physical, social/emotional, financial, career and community. Benefits that can protect your family's financial future and help you save money through our 401k plan plus a generous company match. Columbia offers medical, dental, vision, life Insurance, disability, flexible spending accounts, health savings account, and an assortment of voluntary benefit offerings (accident, critical illness, hospital indemnity, and legal services). In addition, Columbia offers EAP + which is free and confidential 24/7/365 counseling services. We have extensive wellness benefits, employee discounts and a generous time off program available.If you need an accommodation/adjustment to successfully complete and submit your application, please reach out to AskHR@columbia.com with the Subject: Applicant Assistance Requested.