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Fantasy Sports Developer Jobs in California (NOW HIRING)

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... 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 ...

... sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and ...

... sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and ...

Showing results 21-40

Fantasy Sports Developer information

See California salary details

$20.6K

$66.5K

$128.3K

How much do fantasy sports developer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for fantasy sports developer in California is $66,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,679.00 and $94,985.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a fantasy sports developer?

To thrive as a Fantasy Sports Developer, you need a strong background in computer programming, database management, and an understanding of sports statistics and scoring systems, often supported by a degree in computer science or related field. Experience with web development frameworks, APIs, cloud platforms, and version control systems like Git is highly beneficial. Exceptional problem-solving ability, collaboration, and a passion for sports analytics make candidates stand out in this role. These skills ensure the delivery of innovative, reliable, and engaging fantasy sports platforms that attract and retain users.

What are the main challenges faced by fantasy sports developers on a daily basis?

Fantasy Sports Developers often face challenges related to managing real-time data integration, ensuring platform scalability during peak events, and maintaining fair and competitive game mechanics. Balancing the implementation of new features while minimizing downtime and resolving bugs requires strong technical and project management skills. Collaborating closely with designers, product managers, and customer support teams helps address user feedback promptly and keep the platform engaging. Overcoming these challenges leads to a more robust, user-focused fantasy sports experience and offers opportunities to grow expertise in fast-paced, data-driven environments.

What is a fantasy sports developer?

A Fantasy Sports Developer designs, builds, and maintains platforms for fantasy sports applications. This role involves coding user interfaces, backend systems, and real-time data integrations for player statistics, scoring, and league management. Developers often work with APIs, databases, and frameworks to ensure a seamless user experience. They may collaborate with product teams, designers, and data analysts to enhance gameplay features and ensure platform reliability. Strong programming skills, knowledge of sports data, and an understanding of gaming mechanics are key to success in this role.

What are the most commonly searched types of Fantasy Sports Developer jobs in California?

The most popular types of Fantasy Sports Developer jobs in California are:

What are popular job titles related to Fantasy Sports Developer jobs in California?

For Fantasy Sports Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Fantasy Sports Developer jobs in California look for?

The top searched job categories for Fantasy Sports Developer jobs in California are:

What cities in California are hiring for Fantasy Sports Developer jobs?

Cities in California with the most Fantasy Sports Developer job openings:

Infographic showing various Fantasy Sports Developer job openings in California as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 64% Full Time, 31% Part Time, 2% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $66,507 per year, or $32 per hour.

Tennis Data Scientist

Swish Analytics

San Francisco, CA • On-site

$190K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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 Tennis 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 Tennis 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: $135,000 - $190,000

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.