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Data Science Government Jobs in Oregon (NOW HIRING)

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Government security clearance (U.S. citizenship required). Candidates must be able to travel up to ... Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical ...

LTS

AI Platform and Harness Engineer

OR · On-site +1

You will work closely with AI architects, software engineers, data scientists, and product teams to ... Experience supporting Federal Government or other regulated environments. * Experience evaluating ...

Amazon

Data Center Technician

Umatilla, OR · On-site

As required by our contracts with the federal government, effective February 24, 2026, logical ... Science, Network Engineering), or experience in professional or military IT-related roles ...

DLH

Senior Data Manager/SAS programmer (Job 1424)

OR · On-site +1

... government sector experience, proven methodology, and unwavering commitment to innovation to ... S. degree in computer science, health sciences, or other related field; seven or more years of ...

New

Hatch IT

Senior AI Platforms Engineer

OR · On-site +1

$104K - $143K/yr

... business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review ... Bachelor degree in Computer Science, Software Engineering, Information Systems, Data Science, or ...

RTI International

You will provide scientific and regulatory leadership across a diverse portfolio of commercial, government, and global health projects, translating complex nonclinical data into actionable ...

BlueLabs, Inc.

Enterprise Sales, Commercial Practice

OR · On-site +1

... their data. Our team of analysts, scientists, engineers, and strategists hail from diverse ... Since our inception we've worked with more than 400 organizations ranging from government agencies ...

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Data Science Government information

What is a data scientist in government?

A data scientist in government applies statistical analysis, machine learning, and data visualization techniques to solve public sector challenges. They work with large datasets from various sources, such as census records, public health data, and transportation systems, to extract insights that inform policy decisions and improve public services. Their work can include predictive modeling, program evaluation, and developing tools for transparency and accountability. Government data scientists often collaborate with policymakers, IT professionals, and researchers to ensure data-driven decision-making. This role is crucial for making government operations more efficient and responsive to the needs of citizens.

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

To thrive as a Data Scientist in government, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by an advanced degree. Familiarity with tools such as Python, R, SQL, and government-specific data platforms, as well as relevant certifications like Certified Analytics Professional, is highly valued. Excellent communication, problem-solving, and collaboration skills help translate complex data into actionable insights for diverse stakeholders. These skills ensure that data-driven decisions effectively support public policy, enhance services, and address societal challenges.

How does collaboration typically work between data scientists and policy teams in government settings?

In government settings, data scientists often work closely with policy teams to translate complex data insights into actionable policy recommendations. Collaboration usually involves regular meetings to align on project goals, clarify data needs, and discuss findings. Data scientists help interpret analytical results in the context of policy objectives, while policy teams provide guidance on legislative priorities and practical constraints. This cross-functional teamwork ensures that data-driven solutions are both technically sound and aligned with public interest.

Do data science government professionals work for the government?

Yes, data science professionals working in government roles are employed by government agencies or departments. They analyze data to support policy making, public services, and operational efficiency, often using tools like Python, R, and SQL. These roles typically require security clearances and knowledge of public sector regulations.

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

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

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

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

What cities in Oregon are hiring for Data Science Government jobs?

Cities in Oregon with the most Data Science Government job openings:

Data Science Government jobs near you
Infographic showing various Data Science Government job openings in Oregon as of August 2026, with employment types broken down into 85% Full Time, 5% Part Time, 5% Temporary, and 5% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Senior Vice President, Researcher Growth

Digital Science

OR • On-site, Remote

Full-time

Re-posted 6 days ago

Job description

About us

We are Digital Science and we are advancing the research ecosystem. 
We are a pioneering technology company, and our vision is of a future where a trusted and collaborative research ecosystem drives progress for all. We believe in better, open, collaborative and inclusive research. In creating the next generation of tools and working in partnership with the community we tackle some of the biggest challenges to research. In order to achieve our vision, we need innovative, inspiring and dynamic people to join our team. Want to join us?
Your new role -
Researchers change the world - and at Digital Science, we have the privilege of supporting them throughout that journey. They're often the first to discover our products, and as they move from students to decision-makers across institutions, enterprises, and governments, the trust we build early shapes how entire organizations work with us later.
We're creating a new executive role to build and scale this relationship as one of Digital Science's most important strategic assets.
As SVP, Researcher Growth, you'll own the commercial performance of the researcher channel - driving acquisition, engagement, advocacy, conversion, retention, and monetization, plus the downstream opportunities and revenue this generates across our Academic, Enterprise, Government, and Publisher segments. Beyond the numbers, you'll build a global community that deepens researchers' connection to Digital Science and creates a durable engine of trust and growth.
This is a highly collaborative leadership role within a matrix organization, requiring strong partnerships across Segment, Product, and Marketing. Success will come from commercial leadership, influence, strategic thinking, and data-driven clarity that turns complex stakeholder conversations into decisive action.

Lead the Researcher Growth Channel

  • Define and execute Digital Science's researcher growth strategy, ensuring the channel delivers measurable contribution to company and segment growth objectives.
  • Build the programs and operating models that convert researcher engagement into commercial outcomes - from first adoption through retention and cross-product expansion.
  • Partner with Product, Marketing, and segment leaders (Academic, Enterprise, Government, Publisher) to prioritize investments and align initiatives with market priorities.
  • Own annual plans, forecasts, and targets for the channel, and identify opportunities to grow cross-product adoption.

Build and Activate the Researcher Community

  • Build and scale a global researcher community - including ambassador and advocacy programs - that drives awareness, engagement, and commercial growth.
  • Translate community engagement into product adoption, qualified pipeline, conversion, and long-term retention.

Drive Commercial Performance

  • Develop and optimize direct-to-researcher commercial motions that convert engagement into revenue, pipeline, institutional demand, and customer expansion.
  • Monitor channel performance against targets, flagging risks early and acting decisively.
  • Work closely with Product, Marketing, Revenue Operations, and Commercial teams to continuously improve acquisition, conversion, retention, and lifetime value.

Lead Across the Matrix

  • Build alignment across market, product, marketing, and commercial leaders, establishing shared goals and operating rhythms for coordinated execution.
  • Align priorities and resolve competing interests across teams without relying on direct authority.

Measure and Improve

  • Define the metrics that quantify the channel's contribution - revenue, pipeline, conversion, retention, lifetime value, cross-product adoption, and community engagement - and drive continuous improvement through experimentation and analysis.

Shape Company Strategy

  • As a member of the Commercial Leadership Team, embed researcher engagement into portfolio planning and product investment decisions, serving as the executive voice for researcher growth at the highest levels of the company.
Commercial Growth Leadership

  • You have successfully led a commercial growth function with accountability for measurable business outcomes - direct revenue, self-service growth, pipeline, or customer expansion.
  • You know how to build growth engines that combine product, marketing, community, and commercial execution, and you're comfortable translating strategy into performance at the executive level.
  • You can point to a specific number - a revenue target, a growth rate, a pipeline figure - and say: that was mine.
  • You are comfortable in the data, able to spot where a growth model is breaking down, and you use numbers to sharpen decisions rather than justify them after the fact.

Experience Building Direct-to-Researcher or Direct-to-User Growth Models

  • You have built and scaled growth models that attract, engage, convert, retain, and monetize users at scale.
  • Your experience may come from product-led, subscription, or community-led businesses where individual adoption evolves into organizational purchasing.
  • You are as comfortable analyzing a conversion funnel as you are talking to a researcher about why they chose a product - and you know the two are connected.

Exceptional Matrix Leadership

  • You have led initiatives requiring alignment across business units, product, marketing, and executive stakeholders.
  • You build trust and influence quickly without relying on direct authority.
  • When priorities compete, you escalate with a recommendation rather than a problem, and you don't mistake collaboration for shared accountability.

Passion for Researchers and Innovation

  • Experience in research technology, academic publishing, or knowledge-intensive industries is valuable but not essential.
  • What matters most is your genuine enthusiasm for the role researchers play in advancing knowledge and for building products and experiences that help them succeed.

Don't worry if you don't meet every qualification-let us be the judge! Studies show that many qualified candidates from under-represented groups hesitate to apply unless they meet every single requirement. We are dedicated to building a diverse and inclusive team and strongly encourage you to submit your application.
We invest in, nurture and support innovative businesses and technologies that make all parts of the research process more open, efficient and effective. 

The talent we secure is fundamental to us achieving our vision and our growth plans. The values we live by are:

We are brave in the pursuit of better
We are collaborative and inclusive
We are always open-minded
We are from and for the community
At Digital Science, our vision is to see research flow seamlessly - trusted, collaborative, and accessible - fueling breakthroughs that push humanity forward. This ambitious mission is one we achieve together, by enabling open, collaborative, inclusive research.

We firmly believe that to truly innovate and solve the complex challenges faced by our customers, from researchers and universities to funders and publishers, we need diverse perspectives, experiences, and ideas. A rich mix of voices drives quality insights, fosters enhanced collaboration, and ultimately pushes knowledge forward more effectively.

As an equal opportunity employer, we are committed to building and nurturing a workplace where every individual feels valued and belongs. All applicants will be considered for employment without attention to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Beyond recruitment, we strive to cultivate an environment where inclusivity is woven into the fabric of our culture, enabling everyone to be their best self and do their best work.

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