1

Data Science Associate Jobs in Oregon (NOW HIRING)

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

OR · On-site

Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... associate directors, setting clear expectations, and ensuring the right mix of functional ...

Associates get satisfaction from knowing they provide agents, marketers and carrier partners the ... Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ...

Company Description We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work ...

next page

Showing results 1-20

Data Science Associate information

See Oregon salary details

$60.8K

$71.9K

$136.4K

How much do data science associate jobs pay per year?

As of May 28, 2026, the average yearly pay for data science associate in Oregon is $71,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $62,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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 Associate jobs in Oregon? For Data Science Associate jobs in Oregon, the most frequently searched job titles are:
Associate or Full Professor of Data Science

Associate or Full Professor of Data Science

University Of Oregon

Eugene, OR

Other

Medical, Retirement, PTO

Posted 17 days ago


University Of Oregon rating

7.2

Company rating: 7.2 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

327th of 528 rated colleges and universities


Job description

Associate or Full Professor of Data Science

Job no: 535565
Work type: Faculty - Tenure Track
Location: Eugene, OR
Categories: Research/Scientific/Grants, Instruction, Math, Computer and Information Science, Data Science
Department:Arts & Sciences, College of

Department: Data Science
Rank: Associate Professor
Annual Basis: 9 Month

Application Deadline

October 31, 2025

Required Application Materials

Candidates are asked to apply online at https://academicjobsonline.org/ajo/jobs/30328 by submitting the following required application materials:
Cover letter*
Curriculum Vitae
*A cover letter (3 page max) summarizing your interest in and suitability for the position, including an overview and/or highlights of your a) research program, b) teaching experiences and interests, c) service contributions to science, academia, and the broader public, and d) professional contributions to creating welcoming and supportive scientific and learning spaces for individuals from a wide range of backgrounds and perspectives, with the goal of fostering a strong sense of belonging and mutual respect.
Applicants advancing to a later stage will be asked to submit:
Research statement
Teaching statement
Service statement
Three references (no actual letters, just names and email addresses)
Applications will be accepted until October 31st or until the post has been filled. If you are unable to use this online resource, please contact datascience@uoregon.edu to arrange alternate means of submitting application materials. Applicants who advance to subsequent rounds will be asked to provide a research statement, teaching statement, service statement, and references.

Position Announcement

We enthusiastically invite established interdisciplinary scholars to apply to join and collaboratively develop our Department of Data Science. We invite applications from researchers working in Data Science, broadly defined, including those who contribute to data analysis methodology for applied domain(s), as well as those whose research focuses directly on the methodology itself (e.g., computer science, statistics, or applied math). We are building a Data Science department that promotes social good and enhances belonging in the field. Strong faculty candidates will therefore have demonstrated impactful contributions to both inclusive education and broader societal impact. We encourage applications from candidates with a history of collaboration with domain experts.
The colleague we hire will join an engaged and collaborative faculty to co-create a supportive department that makes positive and impactful contributions to the University, to the public of Oregon, and to the globe. To do so, the colleague will contribute to identification of strategic opportunities for our growing department that guide future faculty hiring, foster and support the department's faculty in research excellence, co-create a constructive department culture and continue to expand our educational mission at the undergraduate and graduate level. Some current efforts of the department are to improve outreach to underserved student populations to bolster admissions, and to develop internship and other programs to aid graduates in career placement.
Strong candidates will have demonstrated their ability and vision for building positively engaged spaces, programs, or organizations. Strong candidates will also have a history of excellent research scholarship; as befits an interdisciplinary department, we are open to various metrics of research success beyond grants, citations, and publications (including policy impact, community engagement in research, collaborative projects, etc.). Strong candidates will also have demonstrated excellence in and commitment to teaching, translation of knowledge, or advising/mentoring of students (including out-of-classroom education). We are excited to grow a mutually supportive culture of impactful teaching and research in our new department. We welcome candidates who understand the barriers facing members of groups who have been historically excluded from data science and higher education (as evidenced by life experiences and educational background), and who have experience in improving belonging with respect to teaching, mentoring, outreach, life experiences, or service. We seek to hire an established scholar (appointable to associate or full professor), which includes faculty currently going through the tenure process and researchers with careers in federal agencies.
More information about the Data Science department can be found at https://scds.uoregon.edu/ds. Particular strengths of collaborative research at UO include astronomy, biomedical data science, climate science and modeling, cell and developmental biology, data ethics, earth science, ecology, education, environmental science, evolution, linguistics, neuroscience, physics, spatial information sciences and sport and wellness, although we welcome applicants from other disciplines.

Department or Program Summary

Data Science is a new department that has grown out of a long-standing initiative to increase scholarship and education in quantitative methodology at the University of Oregon. We envision the Data Science Department to be a hub of ethical methodological data science research, with strong connections to domain areas of application, overall facilitating interdisciplinary collaboration across the university. Current faculty and affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and modeling, evolutionary genetics, and forensic genetics. The University of Oregon is a public university committed to exceptional teaching, discovery, and service, with a mission to foster the next generation of transformational leaders and informed participants in the global community. The department offers a rapidly growing Data Science undergraduate program, offered for the first time in Fall 2020 and projected to have > 700 undergraduate majors in 2027.
This program aims to help students learn the technical data science skills to do socially/environmentally-connected interdisciplinary work with real world impact. Faculty in the department of Data Science can work with PhD students and integrate in specialized research communities through affiliations with world-class research Institutes on campus (e.g., the Institute of Neuroscience; the Institute of Ecology and Evolution; Center for the Study of Women in Society).

Minimum Requirements

PhD in discipline related to data science (ex: statistics, computer science, applied mathematics, or a domain field with strong involvement in data science methodology applied in that field)
Appointable to the rank of Associate or Full Professor upon initiation of the position

Preferred Qualifications

Demonstrated success in collaboratively co-organizing spaces that prioritize belonging
Exemplary evidence of impact beyond academia through research, teaching, and/or service
Demonstrated experience leading a productive and impactful research program aligned with the goals of the department

About the University

The University of Oregon is building a faculty committed to meeting the needs of our changing student body and creating essential knowledge for society. We encourage applications from individuals who want to join an institution committed to addressing complex problems at all scales, and critical thinking and cross-disciplinary dialogue. We believe the way to create the faculty we need is to develop the most inclusive applicant pool. Goal 03 of our new (2024) strategic plan, titled Oregon Rising, is to create a flourishing community. As outlined in Oregon Rising, "Flourishing is the holistic development and thriving of every individual in our diverse community achieved through growth, well-being, resilience, trust, belonging, robust connection, and sense of purpose. A flourishing community is built on collective experience and is made stronger by our shared commitment to one another.


All offers of employment are contingent upon successful completion of a background check.

The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans, and paid time off. For more information about benefits, visit our website.

The University of Oregon is an equal opportunity institution committed to cultural diversity and compliance with the ADA. The University encourages all qualified individuals to apply and does not discriminate on the basis of any protected status, including veteran and disability status. The University is committed to providing reasonable accommodations to applicants and employees with disabilities. To request an accommodation in connection with the application process, please email us or call 541-346-5112.

UO prohibits discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, pregnancy (including pregnancy-related conditions), age, physical or mental disability, genetic information (including family medical history), ancestry, familial status, citizenship, service in the uniformed services (as defined in federal and state law), veteran status, expunged juvenile record, and/or the use of leave protected by state or federal law in all programs, activities and employment practices as required by Title IX, other applicable laws, and policies. Retaliation is prohibited by UO policy. Questions may be referred to the Office of Equal Opportunity and Access. Contact information, related policies, and complaint procedures are listed here.

In compliance with federal law, the University of Oregon prepares an annual report on campus security and fire safety programs and services. The Annual Campus Security and Fire Safety Report is available online.

Advertised: 13 Aug 2025 Pacific Daylight Time
Applications close:

Back to search results

Whatsapp Facebook LinkedIn Email App

What University Of Oregon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom