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

Golden State

Web Developer

San Francisco, CA · Remote

$120K/yr

... sports and entertainment organization that values your initiative and dedication! This is a full-time, remote position. Key Responsibilities * Build and maintain features for our internal basketball ...

Golden State

Data Engineer

San Francisco, CA · Remote

$165K/yr

Come share your expertise while learning more about this growing sports and entertainment organization that values your initiative and dedication! This is a full-time remote position. Key ...

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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?

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:
Remote Sports jobs near you
Infographic showing various Remote Sports job openings in San Ramon, CA as of August 2026, with employment types broken down into 77% Full Time, 13% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Machine Learning Engineer

Swish Analytics

San Francisco, CA • Remote

$160K/yr

Full-time

Re-posted 22 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.