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Computer Science Sports Jobs in Oregon (NOW HIRING)

... sports, award shows, and cultural moments watched simultaneously by tens of millions of members ... Qualifications Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a ...

Lead Engineer, Activity Apps

Beaverton, OR · On-site

$106K - $140K/yr

It's a place where passionate individuals come together to create the future of sport. We are ... Bachelor's degree in Computer Science, Engineering, or equivalent experience * Expert proficiency ...

Lead Innovation Engineer, Global Accessories

Beaverton, OR · On-site

$106K - $140K/yr

The team operates at the intersection of science, design, and sport, partnering closely with inline ... Strong grasp of Computer-Aided Design (CAD), Finite Element Analysis (FEA), and Computational Fluid ...

Cloud Engineer

Portland, OR · On-site

$105K - $130K/yr

We've designed and delivered some of the world's most memorable civic, sports and entertainment ... Bachelor's degree (or equivalent) in Computer Science, Information Technology or related field ...

Cloud Engineer

Portland, OR · Hybrid

$105K - $130K/yr

We've designed and delivered some of the world's most memorable civic, sports and entertainment ... Bachelor's degree (or equivalent) in Computer Science, Information Technology or related field ...

Bachelor of Science in Mechanical Engineering, and 3-6 years of engineering experience working in a ... Firearm and sports optics experience along with a knowledge of the shooting sports industry is ...

Bachelor of Science in Mechanical Engineering, and 3-6 years of engineering experience working in a ... Firearm and sports optics experience along with a knowledge of the shooting sports industry is ...

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Computer Science Sports information

See Oregon salary details

$19.9K

$64.1K

$129.7K

How much do computer science sports jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer science sports in Oregon is $64,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,896.00 and $82,784.00 per year, depending on experience, location, and employer.

What is a computer science sports?

A Computer Science Sports job involves using technology, data analysis, and software development to improve various aspects of sports. Professionals in this field may work on performance analytics, sports simulations, wearable technology, or data-driven decision-making for teams and athletes. They often use programming, machine learning, and statistical analysis to optimize player performance, injury prevention, and game strategies. This role can be found in sports organizations, tech companies, and research institutions.

What does a computer science sports do?

Individuals working in Computer Science Sports typically spend their days collecting and analyzing performance data, developing software tools or predictive models to support coaching decisions, and collaborating with multidisciplinary teams including coaches, trainers, and sports scientists. They may also be responsible for maintaining databases, visualizing data for reports, and ensuring data integrity across multiple sources. Regular meetings with stakeholders help ensure projects align with team goals and athletic objectives. This role offers a dynamic environment at the intersection of technology and sports, with the potential to directly impact athletic performance and strategy.

What are the key skills and qualifications needed to thrive in computer science sports?

To succeed in a Computer Science Sports role, you should have a strong background in computer science fundamentals such as programming, data structures, and analytics, often paired with knowledge of sports science or management. Experience with data analytics tools, sport-specific software platforms, and programming languages like Python or R is highly valued, and certifications in areas such as data science or sports analytics can be advantageous. Excellent problem-solving, teamwork, and communication skills help in translating complex data insights to coaches, athletes, or executives. These abilities are important because they bridge the gap between technology and sports performance, driving informed decision-making and innovation in the athletic industry.

How is computer science used in sports?

Computer science in sports involves developing data analysis tools, performance tracking systems, and simulation models to improve athlete training and game strategies. Professionals in this field often work with programming languages, data visualization, and machine learning to enhance sports performance and fan engagement.

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

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

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

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

What cities in Oregon are hiring for Computer Science Sports jobs?

Cities in Oregon with the most Computer Science Sports job openings:

Infographic showing various Computer Science Sports job openings in Oregon as of August 2026, with employment types broken down into 5% Internship, 51% Full Time, 42% Part Time, and 2% Temporary. Highlights an 98% In-person, and 2% Remote job distribution, with an average salary of $64,083 per year, or $30.8 per hour.

Associate or Full Professor of Data Science

University Of Oregon

Eugene, OR

Full-time

Medical, Retirement, PTO

Re-posted 24 days ago


University Of Oregon rating

7.4

Company rating: 7.4 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

337th of 627 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:

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