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From Home Soccer Data Analytics Jobs (NOW HIRING)

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth. Role Description The Remote Data Analyst at Wolf ...

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth. Role Description The Remote Data Analyst at Wolf ...

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth. Role Description The Remote Data Analyst at Wolf ...

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth. Role Description The Remote Data Analyst at Wolf ...

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth. Role Description The Remote Data Analyst at Wolf ...

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth. Role Description The Remote Data Analyst at Wolf ...

Wolf Soccer Club is investing in data and analytics to enhance decision-making, optimize team performance, and support long-term strategic growth. Role Description The Remote Data Analyst at Wolf ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Integrate data from multiple soccer data providers and Club systems to create a single source of truth. * In collaboration with the rest of the Data and Analytics team, support the development and ...

Kids Soccer Coach

San Diego, CA · On-site

$18 - $30/hr

Our community of coaches work hard to give children the best soccer experience possible. It may be ... from home options available. Compensation: $18.00 - $30.00 per hour

Kids Soccer Coach

San Diego, CA · On-site

$18 - $30/hr

Our community of coaches work hard to give children the best soccer experience possible. It may be ... from home options available. Compensation: $18.00 - $30.00 per hour

Kids Soccer Coach

San Diego, CA · On-site

$18 - $30/hr

Our community of coaches work hard to give children the best soccer experience possible. It may be ... from home options available. Compensation: $18.00 - $30.00 per hour

Kids Soccer Coach

San Diego, CA · On-site

$18 - $30/hr

Our community of coaches work hard to give children the best soccer experience possible. It may be ... from home options available. Compensation: $18.00 - $30.00 per hour

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Showing results 1-20

From Home Soccer Data Analytics information

See salary details

$33K

$81.5K

$140K

How much do from home soccer data analytics jobs pay per year?

As of Sep 1, 2026, the average yearly pay for from home 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 From Home Soccer Data Analytics vs From Home Sports Data Analyst?

AspectFrom Home Soccer Data AnalyticsFrom Home Sports Data Analyst
CredentialsDegree in Sports Analytics, Data Science, or related fieldsDegree in Sports Management, Data Science, or related fields
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageSpecifically focused on soccer industry dataBroader sports industry, including multiple sports
Job FocusAnalyzing soccer match data, player performance, team strategiesAnalyzing various sports data, including performance metrics and trends

From Home Soccer Data Analytics specializes in analyzing soccer-specific data, often requiring knowledge of soccer metrics and industry tools. In contrast, From Home Sports Data Analyst covers a broader range of sports, with a focus on general sports performance data. Both roles typically require similar analytical skills and remote work setups but differ in industry focus and specific expertise.

More about From Home Soccer Data Analytics jobs

What cities are hiring for From Home Soccer Data Analytics jobs?

Cities with the most From Home 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 From Home Soccer Data Analytics jobs?

States with the most job openings for From Home Soccer Data Analytics jobs include:

What job categories do people searching From Home Soccer Data Analytics jobs look for?

The top searched job categories for From Home Soccer Data Analytics jobs are:

Infographic showing various From Home Soccer Data Analytics job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Soccer Data Scientist

San Francisco, CA

Swish Analytics
Spectator Sports • 1 - 10 employees

$130K/yr

Full-time

Re-posted 7 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.