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Locum Soccer Data Analytics 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 ... Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! Data Science ...

Bay FC

Head of Data & Analytics

San Jose, CA · On-site

Bay FC is the first NWSL team in the Bay Area, co-founded by legends of women's soccer. The Head of Data & Analytics will lead the execution of the club's data strategy, overseeing the use and ...

Bay Football Club

Head of Data & Analytics

San Jose, CA · On-site

$140K/yr

Oversee the use, governance and quality of data across soccer operations and promote data-informed ... Ensure all analytical work reinforces the Club's football philosophy and supports the broader game ...

Sporting Kansas City

... Soccer. The First Team Performance Data Scientist will be tasked with connecting the first team sport science front end to SKC's centralized data analytics infrastructure. They will meet SKC ...

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All JobsLocum Soccer Data Analytics Jobs

Locum Soccer Data Analytics information

See salary details

$33K

$81.5K

$140K

How much do locum soccer data analytics jobs pay per year?

As of Aug 3, 2026, the average yearly pay for locum soccer data analytics in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What is the difference between Locum Soccer Data Analytics vs Soccer Data Analyst?

AspectLocum Soccer Data AnalyticsSoccer Data Analyst
CredentialsRelevant data analytics certifications, sports analytics experienceDegree in data science, sports management, or related field
Work EnvironmentTemporary, project-based roles often in sports organizations or agenciesFull-time or part-time employment within sports teams or analytics firms
Employer & Industry UsageSports clubs, leagues, or agencies hiring on a temporary basisTeams, clubs, or sports analytics companies with ongoing roles
Search & Comparison IntentLooking for temporary sports data rolesSeeking permanent or long-term sports data positions

In summary, Locum Soccer Data Analytics involves temporary, project-based roles requiring specific analytics skills, while Soccer Data Analysts typically hold permanent positions with ongoing responsibilities within sports organizations.

More about Locum Soccer Data Analytics jobs
What cities are hiring for Locum Soccer Data Analytics jobs? Cities with the most Locum Soccer Data Analytics job openings:
What are the most commonly searched types of Soccer Data Analytics jobs? The most popular types of Soccer Data Analytics jobs are:
What states have the most Locum Soccer Data Analytics jobs? States with the most job openings for Locum Soccer Data Analytics jobs include:
What job categories do people searching Locum Soccer Data Analytics jobs look for? The top searched job categories for Locum Soccer Data Analytics jobs are:
Locum Soccer Data Analytics jobs near you
Infographic showing various Locum Soccer Data Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 16 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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