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Data Scientist Insurance Jobs in Portland, OR (NOW HIRING)

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... Pet Insurance nLIGHT is subject to US Export Control regulations. To qualify for this position, you ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... Pet Insurance nLIGHT is subject to US Export Control regulations. To qualify for this position, you ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred ... Pet Insurance nLIGHT is subject to US Export Control regulations. To qualify for this position, you ...

D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred ... Pet Insurance nLIGHT is subject to US Export Control regulations. To qualify for this position, you ...

Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis ... Fully paid medical insurance plans and dental and vision reimbursement plan * Health Savings ...

Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis ... Fully paid medical insurance plans and dental and vision reimbursement plan * Health Savings ...

Experience with software modeling/statistics/data analysis/ fitting concept software (Matlab ... From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with ...

Experience with software modeling/statistics/data analysis/ fitting concept software (Matlab ... From health, dental, and vision coverage to life and disability insurance, PTO, and a 401(k) with ...

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Showing results 1-20

Data Scientist Insurance information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

How much do data scientist insurance jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data scientist insurance in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

What does a data scientist do in the insurance industry?

A Data Scientist in the insurance industry analyzes large volumes of data to identify trends, predict risks, and improve decision-making processes. They use statistical models, machine learning, and data visualization to assess policyholder behavior, detect fraud, and optimize pricing strategies. Their work helps insurance companies create better products, reduce losses, and provide more personalized services to clients.

What are the key skills and qualifications needed to thrive as a data scientist in the insurance industry?

To thrive as a Data Scientist in insurance, you need strong statistical analysis, data modeling, and programming skills, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, SAS, and machine learning frameworks, along with relevant certifications, is typically required. Exceptional problem-solving, communication, and business acumen help translate complex data insights into actionable strategies for underwriting, claims, and risk assessment. These skills are essential for driving data-driven decisions, optimizing processes, and maintaining a competitive edge in the insurance sector.

What is the difference between Data Scientist Insurance vs Data Analyst Insurance?

AspectData Scientist InsuranceData Analyst Insurance
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentDeveloping predictive models, advanced analytics, machine learning projectsData reporting, data cleaning, basic analysis, generating reports
Employer & Industry UsageInsurance companies, tech firms, consulting agenciesInsurance firms, financial institutions, marketing teams

Data Scientist Insurance roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical skills. Data Analyst Insurance positions involve data reporting, basic analysis, and supporting decision-making with less emphasis on complex modeling. Both roles are vital in the insurance industry but differ in technical depth and responsibilities.

How do data scientists in the insurance industry typically collaborate with underwriters and actuaries?

Data Scientists in insurance work closely with underwriters and actuaries to develop predictive models, risk assessments, and pricing strategies. Collaboration often involves regular meetings to discuss business requirements, share model outputs, and interpret analytical findings in the context of insurance products. Data Scientists translate complex data insights into actionable recommendations, ensuring that technical solutions align with regulatory standards and business objectives. This teamwork helps optimize decision-making and enhances the accuracy of risk evaluation.
What are popular job titles related to Data Scientist Insurance jobs in Portland, OR? For Data Scientist Insurance jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Scientist Insurance jobs in Portland, OR look for? The top searched job categories for Data Scientist Insurance jobs in Portland, OR are:
Infographic showing various Data Scientist Insurance job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $130,165 per year, or $62.6 per hour.

Principal Data Scientist

Columbia Sportswear Company

Portland, OR • On-site

$100 - $130/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 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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What Columbia Sportswear employees say

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Benefits

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Columbia Sportswear logo

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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