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Remote Sports Jobs in San Ramon, CA (NOW HIRING)

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 ...

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

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 ...

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 ...

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 ... 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 ... 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 ... 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 ... 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 ... Remote Duties: * Manage client risk, ensuring the highest margins on Swish products through +EV ...

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Remote Sports information

What does a typical workday look like for someone in a Remote Sports position?

A typical workday in a Remote Sports role often involves monitoring and analyzing sporting events, creating and publishing digital content, and collaborating with editors, analysts, and social media teams virtually. Tasks may include researching the latest sports news, conducting interviews, managing live updates, or compiling reports and statistics—all from a home office or remote location. Clear communication with colleagues across different time zones is common, and meeting deadlines for publishing or broadcasting is essential. While the work is flexible, it can also require evening or weekend hours to cover live events and breaking news. This dynamic environment offers diverse responsibilities and the chance to work with a passionate, sports-centric team.

What is a Remote Sports job?

A Remote Sports job involves working in the sports industry from a location outside of a traditional office or event venue. This can include roles in sports journalism, broadcasting, marketing, analytics, coaching, or social media management. Many positions focus on creating content, analyzing data, or managing digital platforms for sports teams, media outlets, or organizations. Strong communication skills and a deep understanding of sports are often required. Technology enables professionals to contribute remotely while staying connected to the latest sports trends and events.

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

To thrive in a Remote Sports role, you need a strong background in sports analysis, digital communication, and a deep understanding of the industry, typically supported by relevant experience or a degree in sports management, journalism, or a related field. Proficiency with online collaboration platforms, sports data analytics tools, and content management systems is highly valuable. Exceptional time management, self-motivation, and the ability to work independently as well as part of a virtual team are crucial soft skills. These abilities ensure you can effectively engage with audiences, analyze and present information, and adapt to the unique demands of a remote, fast-paced sports environment.

What are the most commonly searched types of Sports jobs in San Ramon, CA? The most popular types of Sports jobs in San Ramon, CA are:
What job categories do people searching Remote Sports jobs in San Ramon, CA look for? The top searched job categories for Remote Sports jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Remote Sports jobs? Cities near San Ramon, CA with the most Remote Sports job openings:
Infographic showing various Remote Sports job openings in San Ramon, CA as of July 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 22 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.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

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