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Remote Sports Science Coordinator Jobs (NOW HIRING)

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Data Science Role Soccer Team Locations San Francisco, CA - Remote Remote status Fully ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Department Data Science Role Tennis Team Locations San Francisco, CA - Remote Remote status Fully ...

SumerSports LLC

Sports Computer Vision Engineer

$165K - $200K/yr

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs ... Remote working environment * A flexible, unlimited time off policy * Generous paid holiday schedule ...

Travere

Flex Medical Science Liaison - West

Arizona - Remote, California - Remote, Colorado - Remote, Idaho - Remote, Montana - Remote, Nevada ... Provide scientific presence and logistical coordination at regional and national congresses ...

Travere

Flex Medical Science Liaison - East

Delaware - Remote, Maryland - Remote, Massachusetts - Remote, New Hampshire - Remote, New Jersey ... Provide scientific presence and logistical coordination at regional and national congresses ...

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Remote Sports Science Coordinator information

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$21.5K

$80.6K

$112.5K

How much do remote sports science coordinator jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote sports science coordinator in the United States is $80,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $99,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Sports Science Coordinator vs Remote Athletic Trainer?

AspectRemote Sports Science CoordinatorRemote Athletic Trainer
Required CredentialsBachelor's in Sports Science, certifications like CSCS or NSCALicensed Athletic Trainer (ATC), state licensure, CPR certification
Work EnvironmentRemote, data analysis, program developmentRemote or on-site, injury assessment, rehabilitation planning
Employer & Industry UsageSports teams, fitness companies, research institutionsClinics, sports teams, healthcare facilities
Search & Comparison IntentUnderstanding roles in sports science, remote coordinationInjury prevention, athlete care, rehabilitation

The Remote Sports Science Coordinator primarily focuses on developing training programs, analyzing athlete data, and supporting sports performance remotely. In contrast, a Remote Athletic Trainer is more involved in injury assessment, prevention, and rehabilitation, often requiring licensure. Both roles are essential in sports and fitness industries but differ in credentials, daily tasks, and scope of work.

More about Remote Sports Science Coordinator jobs

What cities are hiring for Remote Sports Science Coordinator jobs?

Cities with the most Remote Sports Science Coordinator job openings:

What states have the most Remote Sports Science Coordinator jobs?

States with the most job openings for Remote Sports Science Coordinator jobs include:

What job categories do people searching Remote Sports Science Coordinator jobs look for?

The top searched job categories for Remote Sports Science Coordinator jobs are:

Remote Sports Science Coordinator jobs near you
Infographic showing various Remote Sports Science Coordinator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $80,570 per year, or $38.7 per hour.

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 19 days ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Soccer, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base Salary: Starting at $130,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role Soccer Team Locations San Francisco, CA - Remote Remote status Fully Remote

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