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Data Science Jobs in Oregon (NOW HIRING)

Terzo

Data Scientist

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You might thrive in this role if you have * 5+ years of experience in data science, applied ML, or AI research with production-shipped systems, not just notebooks and prototypes * Strong statistical ...

Columbia

Principal Data Scientist

Portland, OR

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Columbia Sportswear

Principal Data Scientist

Portland, OR

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

Louisiana Workforce Commission

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Louisiana State University

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

LSU AgCenter

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Assistant/Associate Professor (Computational Biology/Data Science) Position Type:Faculty Department:LSUAG PL1 - Department of Plant Pathology and Crop Physiology (Lawrence E Datnoff (00013100)) Work ...

Corvel

Data Scientist II

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Translate business and operational needs into scalable data science solutions and modeling approaches * Perform feature engineering, data preparation, and exploratory analysis to support model ...

Columbia Sportswear Company

Principal Data Scientist

Portland, OR · On-site

$100 - $130/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

SOSi

Senior Data Scientist

OR · Remote

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 ...

SOSi

Senior Data Scientist

Myrtle Point, OR

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 ...

SOSi

Senior Data Scientist

OR · On-site +1

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 ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Oregon

Data Science information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for 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.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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 statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Oregon?

The most popular types of Data Science jobs in Oregon are:

What are popular job titles related to Data Science jobs in Oregon?

For Data Science jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Oregon look for?

The top searched job categories for Data Science jobs in Oregon are:

What cities in Oregon are hiring for Data Science jobs?

Cities in Oregon with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Oregon as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

Data Scientist

Terzo

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Scientist - Product

Location: US

Level: Senior Individual Contributor

Team: Engineering

About Terzo

Terzo builds an AI-native enterprise data platform designed to power the commercial and financial operating system of modern companies. The platform transforms complex, unstructured enterprise data into structured, actionable intelligence used directly in operational and financial decision-making. Terzo sits at the intersection of data platforms, AI systems, and enterprise software, focusing on real production use cases rather than demos or point solutions.

The Opportunity

As a Data Scientist on our Applied Research team, you will build the intelligent systems that create the data our customers depend on. You will design extraction and classification models that process enterprise-scale document corpora, build and evolve the entity resolution and signal detection layers powering the Commercial Graph and Financial Graph, and define how AI capabilities surface as recommendations, agents, and search across the platform. You will own the models, pipelines, and graph structures that are the product - working directly with engineering, product, and customers on problems where a single clause can represent tens of millions of dollars of exposure and where model accuracy has a contractual SLA.

You might thrive in this role if you have
  • 5+ years of experience in data science, applied ML, or AI research with production-shipped systems, not just notebooks and prototypes
  • Strong statistical foundations and the ability to define and evaluate success metrics for AI systems including precision, recall, coverage, latency, not just accuracy
  • Deep experience building NLP, NLU, or document understanding models that operate on messy, real-world unstructured data at scale
  • Strong intuition for entity resolution, knowledge graph construction, or graph-based modeling and you've thought seriously about how to connect fragmented data into structured, queryable representations
  • Hands-on proficiency in Python and modern AI frameworks (), with experience deploying models into production pipelines
  • Comfort with information extraction, classification, and retrieval-augmented generation patterns applied to real enterprise workloads
  • A track record of working cross-functionally with engineering and product to shape what gets built, not just executing on handed-down specs
  • Clear, structured communication where you can explain a model decision to a PM, defend an architectural choice to a staff engineer, and present results to leadership without hiding behind jargon
  • High ownership mentality where you treat model quality, pipeline reliability, and customer outcomes as your responsibility
You could be an especially great fit if you have
  • Experience building or evolving knowledge graphs, commercial ontologies, or financial data models in enterprise contexts
  • Prior work on document AI, OCR pipelines, or hybrid extraction systems combining rule-based and learned approaches
  • Exposure to AI agent architectures, tool-use patterns, or autonomous reasoning systems in production
  • Background in procurement, contract management, spend analytics, or financial operations domains
  • Experience with evaluation frameworks for AI systems (RAGAS, custom eval harnesses, human-in-the-loop QA pipelines)
  • Familiarity with distributed data platforms, event-driven architectures, or streaming systems (Ray, Kafka, Azure Service Bus)
  • Prior work at a high-growth startup or enterprise AI company 
  • An MS or PhD in a quantitative field
Why Join Terzo
  • Opportunity to build and own a foundational enterprise data platform
  • High-impact role with real influence on architecture and technical direction
  • Complex problems involving data, AI, scale, and enterprise customers
  • Small, senior team with strong ownership and minimal bureaucracy
  • Clear runway for technical and leadership growth as the platform scales
Benefits & Perks
  • Competitive salary
  • Annual performance bonus
  • Employee stock option plan
  • 100% paid medical, dental, and vision coverage
  • 401(k) with employer contribution
  • Generous vacation and sick leave
  • Flexible work arrangements
  • High-quality equipment for home and office
  • Strong culture of collaboration, mentorship, and continuous improvement

Apply