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Data Scientist Jobs in Oregon (NOW HIRING)

Staff Data Scientist

OR ยท On-site +1

Role Overview Our Data Science team uses data, machine learning, and large language models to power smarter products and more intuitive knowledge discovery. We're looking for a Staff Data Scientist ...

Data Scientist

OR ยท On-site +1

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances ...

Data Scientist

OR ยท On-site

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances ...

Data Scientist

OR ยท On-site +1

$135K - $160K/yr

What You'll Do As a Data Scientist with Imagine Pediatrics, you will be part of a growing team and business utilizing foundational Data Science to support the health and lives of children with ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk, marketing, and account management models to drive higher approval rates and lower losses. You will ...

As our Data Scientist, you'll help drive Concora Credit's Mission to enable customers to Do More with Credit - every single day. The impact you'll have at Concora Credit: As a Data Scientist, your ...

Data Scientist 1

Lake Oswego, OR ยท On-site

$90K - $110K/yr

The Data Scientist will be expected to support Hoffman's project teams and relocation may be necessary. This is an in-person position. Compensation Range: $90,000 - $110,000 DOE Essential ...

Data Scientist 1

Portland, OR ยท On-site

$100 - $125/hr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

Data Scientist

OR ยท On-site +1

As a Data Scientist at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to ...

Data Scientist 1

Portland, OR ยท On-site

$80 - $100/hr

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

Data Scientist 1

Portland, OR ยท On-site

$90K - $110K/yr

The Data Scientist will be expected to support Hoffman's project teams and relocation may be necessary. This is an in-person position. Compensation Range: $90,000 - $110,000 DOE Essential ...

Data science is a competitive differentiator for Nike and is fundamentally changing how the company serves athletes and consumers around the world. The Data Science & Analytics team builds technical ...

Data Scientist - Search

OR ยท On-site +1

The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, psychology, geography, physics, statistics, and ...

Senior Data Scientist

OR ยท On-site +1

Roles are open at both the L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. You'll get the chance to learn about the different problems the Data Science team solves as you go ...

Senior Data Scientist

OR ยท On-site +1

$140K - $190K/yr

As a Senior Data Scientist , you will play a pivotal role in advancing Reify Health's data-driven solutions for clinical trials. In this position, you will drive the development of statistical models ...

Data Scientist, Corporate

OR ยท On-site +1

We are looking for a Data Scientist to join our core Panel Science team. Our team is dedicated to building an uncompromising, mathematically rigorous single source of truth for enterprise consumer ...

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Showing results 1-20

Data Scientist information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data scientist 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 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, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

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

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

What cities in Oregon are hiring for Data Scientist jobs?

Cities in Oregon with the most Data Scientist job openings:

What are popular job titles related to Data Scientist jobs in OR?

For Data Scientist jobs in OR, the most frequently searched job titles are:

Infographic showing various Data Scientist job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 38% In-person, and 62% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

Staff Data Scientist

Stack Overflow

OR โ€ข On-site, Remote

Full-time

Posted 4 days ago


Job description

Role Overview

Our Data Science team uses data, machine learning, and large language models to power smarter products and more intuitive knowledge discovery. We're looking for a Staff Data Scientist who's excited about leading ambitious, high-impact work, partnering closely with product and engineering teams, and helping define the future of knowledge discovery in the AI era.

In this role, you'll lead data science initiatives that span multiple product teams across Stack Overflow and Stack Internal, moving across teams as the work requires. You'll stay hands-on with the hardest technical questions, guide work across the full data science lifecycle, and help teams make better product, technical, and business decisions with data.

What you'll do
  • Lead data science initiatives spanning multiple product teams, turning ambiguous needs into tractable problems
  • Stay hands-on in analysis, experimentation, model development, and evaluation, especially where scientific uncertainty is highest
  • Define what good looks like, design offline evaluations that are representative of production settings, ensure proper online product measurement to make clear product, technical, and business recommendations
  • Translate needs for upstream data, downstream integration, model serving, and monitoring into clear requirements for engineering partners
  • Balance product deadlines with deeper research and innovation, using thin slices and clear learning milestones to move uncertain work forward
  • Partner with Product, Engineering, and business stakeholders to explain capabilities, limitations, and tradeoffs; challenge assumptions constructively and help teams make informed decisions
  • Identify repeated work and develop shared methods or tools where they can accelerate future experimentation and deployment
  • Mentor data scientists and engineers interested in ML, helping build stronger data science, ML, and AI understanding across the organization
What you'll bring
  • 7+ years of relevant experience, including a track record of leading ambiguous, production-facing data science or ML initiatives across multiple teams
  • Hands-on experience building and evaluating ML systems, including LLM-powered applications; fine-tuning, SFT, or other language-model development experience is a plus
  • A strong understanding of the full data science and ML lifecycle, including data and instrumentation needs, offline and online evaluation, production handoffs, monitoring, and iteration
  • Strong analytical and modeling skills, especially when working with large or unstructured datasets
  • Excellent stakeholder leadership - able to turn evidence into clear recommendations, educate different audiences, and influence or challenge decisions without formal authorityย 
  • Sound judgment when balancing near-term product delivery with deeper research and technical uncertainty
  • Experience mentoring data scientists or engineers
Why join now?

Stack Overflow has shaped how developers learn and solve problems for over eighteen years. That foundation of trusted, human-verified knowledge is now central to how enterprises are building their AI capabilities. This role puts you at the center of that transformation, helping customers connect their internal knowledge to the AI tools their teams use every day. Professional Services is a core part of how we deliver on that mission. For the right leader, this is a career-defining opportunity to build something meaningful at a company developers actually care about.