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Remote Fantasy Sports Jobs (NOW HIRING)

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 ... This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$75K/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

$65K/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

Data Engineer

San Francisco, CA · Remote

$160K/yr

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 ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

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 ...

The Walt Disney Company

Bureau Producer I

$107K - $174K/yr

Sports News & Coverage Job Posting Primary Business: Digital Editorial, UCG, Fantasy & Betting ... Remote Worker Location, USA Alternate City, State, Region, Postal Code: Date Posted: 2026-07-27

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Remote Fantasy Sports information

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$11K

$50.5K

$54.5K

How much do remote fantasy sports jobs pay per year?

As of Sep 5, 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 is a remote fantasy sports?

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 does a remote fantasy sports do?

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 are the key skills and qualifications needed to thrive in remote fantasy sports?

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:

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Remote Fantasy Sports jobs near you
Infographic showing various Remote Fantasy Sports job openings in the United States as of August 2026, with employment types broken down into 47% Full Time, 42% Part Time, and 11% Temporary. Highlights an 100% Remote job distribution, with an average salary of $50,453 per year, or $24.3 per hour.

Machine Learning Engineer

Swish Analytics

San Francisco, CA • On-site, Remote

$160K/yr

Full-time

Re-posted 19 days ago

Job 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 enterprise clients.
The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to "roll your own" and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.
This position is 100% remote
Responsibilities:
  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.
  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.
  • Build, test, deploy and maintain production systems.
  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.
  • Support maintenance and optimization of cloud-native EDW and ETL solutions.
  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Use extensive experience to build, test, debug, and deploy production-grade components.
  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.
  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:
  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area
  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs
  • A proven background in quantitative analytics, trading, or engineering is required for this position
  • Demonstrated experience developing data science modeling systems and infrastructure at scale
  • Experience with Python and exposure to modern machine learning frameworks
  • Proficient in SQL; experience with MySQL
  • Background and/or interest in Rust preferred
  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback
  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential
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 Engineering & Infrastructure Role Data Science Infrastructure Locations San Francisco, CA - Remote Remote status Fully Remote

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