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Remote Baseball Jobs in California (NOW HIRING)

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$9

$19

$30

How much do remote baseball jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for remote baseball in California is $19.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $19.90 per hour, depending on experience, location, and employer.

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

To excel in a remote baseball operations or analytics position, a strong background in sports management, data analysis, and baseball-related experience is essential. Technical proficiency with statistical software, scouting platforms, and communication tools such as Slack or Zoom is commonly required. Exceptional self-motivation, collaboration, and clear communication skills help remote employees coordinate effectively with coaches and team staff. These competencies are crucial for supporting baseball operations, delivering actionable insights, and maintaining team synergy from a distance.

What does a typical day look like for someone working in a remote baseball operations or analytics role?

A typical day involves analyzing game data and player statistics, preparing scouting reports, participating in virtual strategy sessions, and coordinating with coaches and front-office staff using online collaboration tools. Remote team members may also attend virtual meetings, help develop game strategies, and provide updates to management throughout the season. While the environment is fast-paced, it offers flexibility and the chance to make a real impact on team decisions from anywhere. Effective communication and time management are vital to ensuring seamless collaboration across different departments. Working remotely in baseball allows you to stay closely involved with the sport while enjoying the benefits of a flexible work setup.

What is a Remote Baseball job?

A Remote Baseball job involves working in a baseball-related role from a remote location, rather than being physically present at a stadium or office. These jobs can include sports writing, data analysis, social media management, video scouting, and virtual coaching. Organizations such as teams, media outlets, and analytics companies hire remote workers to support baseball operations, content creation, and statistical analysis. Skills in communication, data interpretation, or digital media can be valuable for securing a remote baseball position.

What are the most commonly searched types of Baseball jobs in California? The most popular types of Baseball jobs in California are:
What are popular job titles related to Remote Baseball jobs in California? For Remote Baseball jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Baseball jobs in California look for? The top searched job categories for Remote Baseball jobs in California are:
What cities in California are hiring for Remote Baseball jobs? Cities in California with the most Remote Baseball job openings:
Remote Baseball jobs near you
Infographic showing various Remote Baseball job openings in California as of July 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,571 per year, or $19.5 per hour.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 20 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

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