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Weekday Sports Science Research Jobs (NOW HIRING)

Medra

Research Associate - Protein

San Francisco, CA · On-site

... scientific research happens * Fast-paced, creative, and collaborative work environment * Significant equity ownership * 401k * Medical and dental insurance * Unlimited PTO * Weekday dinners

Exos

Sports Performance Coach

Rapid City, SD · On-site

Actively participate in planning, designing, and developing programs to enhance our offerings and support research in sports science. * Contribute to staff education and training, delivering insights ...

Weekday AI

Biology Research Scientist (BA, MS, PhD)

$50 - $70/hr

PhD with research or industry experience in biotechnology, pharmaceutical sciences, or drug discovery. * Educational background in Pharmacology, Biochemistry, Molecular Biology, Chemical Biology, or ...

TaylorMade Golf

Fitting Research Engineer

Carlsbad, CA

$90K - $103K/yr

The Fitting Research Engineer will work within the Research department and be central to that ... Stay current on advances in data science, machine learning, and sports analytics; identify and ...

TOGETHXR

Senior Director, High Performance

Manhattan, NY · On-site

$165 - $195/hr

Contribute to league-wide research initiatives that focus on player health, wellbeing, and ... High Performance and Sports Science * Drive the NWSL's high performance strategy, supporting the ...

Rice University

Research Scientist

Houston, TX · On-site

... sports, student plays, lectures series, courses and student government. Developing close-knit ... Design and implement experimental and computational projects that bridge fundamental science with ...

Rice University

Research Scientist

Houston, TX

... sports, student plays, lectures series, courses and student government. Developing close-knit ... Design and implement experimental and computational projects that bridge fundamental science with ...

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Weekday Sports Science Research information

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How much do weekday sports science research jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for weekday sports science research in the United States is $26.92, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $39.66 per hour, depending on experience, location, and employer.
What cities are hiring for Weekday Sports Science Research jobs? Cities with the most Weekday Sports Science Research job openings:
What are the most commonly searched types of Sports Science Research jobs? The most popular types of Sports Science Research jobs are:
What states have the most Weekday Sports Science Research jobs? States with the most job openings for Weekday Sports Science Research jobs include:
Weekday Sports Science Research jobs near you
Infographic showing various Weekday Sports Science Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $55,998 per year, or $26.9 per hour.

Data Scientist - Research and Development

Pittsburgh Pirates

Pittsburgh, PA • On-site

Full-time

Posted 27 days ago

Job description

The Pirates Why
The Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by:
  • purposefully developing a player and people-centered culture;
  • deeply connecting with our fans, partners, and colleagues;
  • passionately creating lifetime memories for generations of families and friends; and
  • meaningfully impacting our communities and the game of baseball.

At the Pirates, we believe in the power of a diverse workforce and strive to create an inclusive culture centered in Passion, Innovation, Respect, Accountability, Teamwork, Empathy, and Service.
Job Summary
As a Data Scientist on the Pirates Research & Development team, you will help transform a wealth of baseball data - from box scores and player tracking to video and biomechanics - into actionable insights that drive the Pirates to make better, faster acquisition, development, and deployment decisions. You will work closely with other data scientists, analysts, and software engineers across Baseball R&D as well as other stakeholders across Baseball Operations (scouts, coaches, player development, front office) to turn your statistical and machine learning models into actionable decision tools.
Responsibilities:
  1. Design, build, validate, and deploy statistical and/or machine-learning models to support all facets of baseball operations, including scouting, player acquisition, player development, and on-field decision making.
  2. Build tools, prototypes, and visualizations to translate complex data and model results into insights understandable by coaches, players, and decision-makers.
  3. Communicate results and insights clearly to both technical and non-technical audiences.
  4. Partner with data engineers to build scalable data pipelines and maintain data quality.
  5. Stay abreast of new data sources, analytical techniques, and research.
  6. Help the organization experiment, learn, and iterate.

Qualifications
We recognize that no candidate will meet every qualification listed below. If you are excited about this role and believe you can add value to our work, we encourage you to apply even if your experience does not align perfectly with every requirement.
Required:
  1. Degree (or equivalent experience) in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Economics, Machine Learning, Biomechanics, Engineering, Operations Research).
  2. Demonstrated experience applying complex statistical and/or machine learning tools to real-world problems.
  3. Demonstrated proficiency in a programming language such as Python or R for data analysis and modeling.
  4. Demonstrated ability to communicate complex quantitative concepts clearly, both written and verbally.
  5. Demonstrated experience collaborating with others on data science projects.
  6. Authorized to work lawfully in the United States.

Desired:
  1. Familiarity with advanced statistical techniques (e.g., fixed-effect / random-effect models, generalized additive models, Bayesian modeling, probabilistic programming).
  2. Experience with machine-learning / deep-learning frameworks (e.g., PyTorch, Tensorflow), especially applied to high-dimensional, spatiotemporal, or biomechanical data.
  3. Background in computer vision, biomechanics, sports-science, or modeling of dynamic physical systems.
  4. Prior experience in sports analytics context; baseball is a plus.
  5. Experience with database languages (e.g., SQL) and working with large / relational datasets.

Equal Opportunity Employer
The Pittsburgh Pirates are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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