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Remote Sports Info Solutions Jobs in San Ramon, CA

Swish Analytics

Tennis Data Scientist

San Francisco, CA · Remote

$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

NFL Data Scientist

San Francisco, CA · Remote

$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

Soccer Data Scientist

San Francisco, CA · Remote

$130K/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 ...

Sodexo

Senior Director, Solution Design

Alameda, CA · On-site +1

$156K - $242K/yr

... solutions that fuel growth across our Healthcare Technology Management business ... This position is remote with approximately 50% travel, and the ideal candidate will reside near a ...

Sodexo

Senior Director, Solution Design

Fremont, CA · On-site +1

$156K - $242K/yr

... solutions that fuel growth across our Healthcare Technology Management business ... This position is remote with approximately 50% travel, and the ideal candidate will reside near a ...

Danaher

Discovery AKTA Sales Specialist

Redwood City, CA · On-site +1

Working atCytivameans being at the forefront of providing new solutions to transform human health ... The position is remote and territory based. What You'll Do * Partner with life science customers to ...

Danaher

Discovery AKTA Sales Specialist

San Jose, CA · On-site +1

Working atCytivameans being at the forefront of providing new solutions to transform human health ... The position is remote and territory based. What You'll Do * Partner with life science customers to ...

Danaher

Discovery AKTA Sales Specialist

Palo Alto, CA · On-site +1

Working atCytivameans being at the forefront of providing new solutions to transform human health ... The position is remote and territory based. What You'll Do * Partner with life science customers to ...

Danaher

Legal Counsel

San Jose, CA · On-site +1

This role is remote but our ideal candidate would be located within commutable distance to our ... Check out our benefits atDanaher Benefits Info. At Beckman Coulter Life Sciences we believe in ...

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All JobsSports Info Solutions JobsRemote Sports Info Solutions JobsRemote Sports Info Solutions Jobs in San Ramon, CA

Remote Sports Info Solutions information

See San Ramon, CA salary details

$31.3K

$68.6K

$129.1K

How much do remote sports info solutions jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote sports info solutions in San Ramon, CA is $68,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,400.00 and $93,900.00 per year, depending on experience, location, and employer.

What is a Remote Sports Info Solutions?

A Remote Sports Info Solutions job typically involves working for Sports Info Solutions, a company specializing in sports data collection and analytics, from a remote location rather than a physical office. Employees in these roles might collect, analyze, and manage statistical data for various sports, helping teams, media, and fans gain deeper insights into player and team performance. Common remote positions include data analyst, video scout, and software developer, all of which require a passion for sports and strong analytical or technical skills. Remote roles allow employees to contribute to the sports industry from anywhere, offering flexibility and the chance to work with cutting-edge sports technology.

What does a typical workday look like for a Remote Sports Info Solutions employee, and how do they collaborate with the rest of the team?

As a Remote Sports Info Solutions employee, your day often involves analyzing sports data, inputting statistics, and contributing to research projects from a home-based setup. Collaboration is typically managed through digital tools like Slack, Zoom, and project management platforms, ensuring seamless communication with both analysts and project leads. You may participate in regular virtual meetings to discuss findings, share insights, and receive feedback, which helps maintain a strong sense of teamwork despite the remote nature. Flexibility in scheduling is common, but meeting project deadlines and staying responsive to team communications are key to success.

What are the key skills and qualifications needed to thrive as a Remote Sports Info Solutions analyst, and why are they important?

To excel as a Remote Sports Info Solutions Analyst, a strong background in sports analytics, data entry, and attention to detail is essential, often supported by familiarity with sports statistics and a relevant degree or coursework. Proficiency with data analysis tools, spreadsheet software like Microsoft Excel, and proprietary sports tracking systems is typically required. Excellent communication, time management, and self-motivation are crucial soft skills for remote collaboration and meeting deadlines. These skills ensure accurate data collection, effective teamwork, and reliable insights critical to supporting sports teams and organizations remotely.

What is the difference between Remote Sports Info Solutions vs Remote Sports Data Analyst?

AspectRemote Sports Info SolutionsRemote Sports Data Analyst
CredentialsRelevant sports information certifications, data management skillsStatistics, data analysis, or sports management degrees
Work EnvironmentRemote, flexible hours, sports media or data companiesRemote, analytics-focused, sports organizations or media outlets
Industry UsageSports media, broadcasting, fan engagementSports teams, analytics firms, media outlets

Remote Sports Info Solutions typically focus on gathering and managing sports-related information, often for media or fan engagement, requiring knowledge of sports data and communication. Remote Sports Data Analysts analyze sports data to generate insights, requiring strong statistical skills. Both roles are remote, but their core functions differ in scope and focus.

What job categories do people searching Remote Sports Info Solutions jobs in San Ramon, CA look for?

The top searched job categories for Remote Sports Info Solutions jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Remote Sports Info Solutions jobs?

Cities near San Ramon, CA with the most Remote Sports Info Solutions job openings:

Remote Sports Info Solutions jobs near you
Infographic showing various Remote Sports Info Solutions job openings in San Ramon, CA as of June 2026, with employment types broken down into 28% Full Time, 65% Part Time, 5% Contract, and 2% Nights. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $68,643 per year, or $33 per hour.

Machine Learning Engineer

Swish Analytics

San Francisco, CA • Remote

$160K/yr

Full-time

Re-posted 17 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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