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Internship Remote Fantasy Sports Jobs (NOW HIRING)

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... This is a remote position. Duties * Support production systems and help triage issues during live ...

THETEAM operates at the epicenter of sports, music, entertainment and culture, serving talent ... Open to remote candidates THETEAM does not discriminate on the basis of race, sex, color, religion ...

THETEAM operates at the epicenter of sports, music, entertainment and culture, serving talent ... Open to remote candidates THETEAM does not discriminate on the basis of race, sex, color, religion ...

THETEAM operates at the epicenter of sports, music, entertainment and culture, serving talent ... Open to remote candidates THETEAM does not discriminate on the basis of race, sex, color, religion ...

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Internship Remote Fantasy Sports information

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$23

How much do internship remote fantasy sports jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship remote fantasy sports in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Internship Remote Fantasy Sports vs Fantasy Sports Analyst?

AspectInternship Remote Fantasy SportsFantasy Sports Analyst
CredentialsTypically pursuing or recent graduate in sports management, marketing, or related fieldsExperience in sports analytics, data analysis, or journalism; often requires relevant certifications or portfolio
Work EnvironmentRemote, project-based, internship settingRemote or on-site, full-time or freelance roles in media or sports companies
Industry UsageEntry-level position for gaining industry experience in fantasy sportsProfessional role analyzing sports data, providing insights, and content creation

In summary, Internship Remote Fantasy Sports is an entry-level, remote internship focused on gaining experience in the fantasy sports industry, while a Fantasy Sports Analyst is a more experienced role involving data analysis and content creation, often requiring prior knowledge and credentials.

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What cities are hiring for Internship Remote Fantasy Sports jobs?

Cities with the most Internship Remote Fantasy Sports job openings:

What are the most commonly searched types of Remote Fantasy Sports jobs?

The most popular types of Remote Fantasy Sports jobs are:

What states have the most Internship Remote Fantasy Sports jobs?

States with the most job openings for Internship Remote Fantasy Sports jobs include:

Infographic showing various Internship Remote Fantasy Sports job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 64% Full Time, 33% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Soccer Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$130K/yr

Full-time

Re-posted 6 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