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Remote Fantasy Sports Jobs (NOW HIRING)

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 ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

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 ... This position is remote from the USA. Duties: * Ideate, develop and improve machine learning and ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$80K/yr

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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$70K/yr

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 ...

PFF

Senior Data Engineer

$120K - $160K/yr

About PFF PFF is a leading sports analytics company that transforms complex football data into ... fantasy players, bettors, and fans alike. Key Responsibilities Lead the Architectural Redesign:

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How much do remote fantasy sports jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote fantasy sports in the United States is $50,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $53,000.00 per year, depending on experience, location, and employer.

What are the typical responsibilities and daily tasks for someone working in Remote Fantasy Sports?

In a Remote Fantasy Sports position, your daily tasks may include analyzing player statistics, setting or updating fantasy lineups, engaging with community members, and generating content such as player rankings or matchup previews. You could also be responsible for troubleshooting issues for users, staying updated on sports news and injuries, and collaborating with team members on larger projects like product enhancements or marketing campaigns. Most work is done independently, but frequent communication with a distributed team is common, often via video calls or messaging platforms. The dynamic nature of this field means that staying organized and flexible is key, especially during peak sports seasons.

What is a Remote Fantasy Sports job?

A Remote Fantasy Sports job involves working in the fantasy sports industry from a remote location. Responsibilities may include managing fantasy leagues, analyzing player statistics, creating content, or developing software for fantasy platforms. Roles can range from content writing and customer support to data analysis and product management. This job is ideal for individuals passionate about sports, data, and digital platforms. Employers may include fantasy sports websites, media companies, or tech startups in the sports industry.

What are the key skills and qualifications needed to thrive in the Remote Fantasy Sports position, and why are they important?

To excel in a Remote Fantasy Sports role, candidates should have a strong understanding of sports analytics, data interpretation, and an in-depth knowledge of fantasy sports platforms. Familiarity with industry-standard fantasy league software, spreadsheet tools, and potentially coding or database management systems is often required. Excellent communication, adaptability, and time management are valued soft skills, as the role may involve remote collaboration and frequent updates. These abilities are essential for effectively managing user engagement, staying current with sports trends, and efficiently delivering fantasy sports content or support in a distributed work environment.

More about Remote Fantasy Sports jobs
What cities are hiring for Remote Fantasy Sports jobs? Cities with the most Remote Fantasy Sports job openings:
What are the most commonly searched types of Fantasy Sports jobs? The most popular types of Fantasy Sports jobs are:
What states have the most Remote Fantasy Sports jobs? States with the most job openings for Remote Fantasy Sports jobs include:
What job categories do people searching Remote Fantasy Sports jobs look for? The top searched job categories for Remote Fantasy Sports jobs are:
Remote Fantasy Sports jobs near you
Infographic showing various Remote Fantasy Sports job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $50,453 per year, or $24.3 per hour.
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Posted 5 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 an NFL 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 NFL, CFB, 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 $140,000
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 NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

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