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Baseball Data Science Jobs in California (NOW HIRING)

Dialpad

Lead Product Manager

San Ramon, CA

... Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV ... A CS/ML degree alone doesn't count; neither does "worked closely with data scientists." * 2+ years ...

Dialpad

Lead Product Manager

San Ramon, CA · On-site

... Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV ... A CS/ML degree alone doesn't count; neither does "worked closely with data scientists." * 2+ years ...

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Baseball Data Science information

How do baseball data scientists collaborate with coaches and players to translate analytics into on-field improvements?

Baseball data scientists often work closely with coaches and players by presenting data-driven insights in accessible ways, such as visualizations or concise reports. They help translate complex analytics into actionable strategies, like adjusting swing mechanics or defensive positioning. Regular meetings and open communication are key, as data scientists must ensure their recommendations align with team goals and player capabilities. This collaborative approach not only bridges the gap between data and performance but also fosters a culture of continuous improvement.

What is the difference between Baseball Data Science vs Baseball Analytics?

AspectBaseball Data ScienceBaseball Analytics
Required CredentialsDegree in Data Science, Statistics, or related fieldDegree in Sports Management, Analytics, or related field
Work EnvironmentData-driven teams, sports organizations, research labsTeam analysis departments, sports teams, consulting firms
Employer & Industry UsageMajor league teams, sports analytics companies, research institutionsMajor league teams, sports media, consulting firms

Baseball Data Science focuses on advanced statistical modeling, machine learning, and data engineering to uncover insights from complex datasets. Baseball Analytics often emphasizes performance metrics, game strategy, and player evaluation using statistical tools. While both roles overlap, Data Science tends to involve more technical data manipulation, whereas Analytics centers on applying insights to game strategies and player decisions.

What is baseball data science?

Baseball data science is the application of statistical analysis, machine learning, and data management techniques to baseball data to gain insights, improve player performance, and inform team strategies. Data scientists in baseball analyze large datasets such as player statistics, pitch tracking, and game outcomes to uncover patterns and make predictions. Their work supports coaching decisions, scouting, player health monitoring, and front office operations. Baseball data science has become increasingly important with the rise of advanced metrics and technologies like Statcast.

What are the key skills and qualifications needed to thrive as a baseball data scientist, and why are they important?

To thrive as a Baseball Data Scientist, you need a strong background in statistics, data analysis, and computer science, often supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with SQL databases, and proficiency in data visualization tools are typically required. Strong communication, problem-solving abilities, and a passion for baseball analytics make candidates stand out. These skills are crucial for extracting actionable insights from complex data, supporting decision-making, and driving competitive advantage in baseball operations.

What are popular job titles related to Baseball Data Science jobs in California?

For Baseball Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Baseball Data Science jobs in California look for?

The top searched job categories for Baseball Data Science jobs in California are:

What cities in California are hiring for Baseball Data Science jobs?

Cities in California with the most Baseball Data Science job openings:

Baseball Data Science jobs near you
Infographic showing various Baseball Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Los Angeles Angels-Full Time Data Engineer, Baseball Systems

Angels Baseball

Anaheim, CA • On-site

$95K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 28 days ago

Job description

Overview:
The Los Angeles Angels are seeking a Data Engineer, Baseball Systems to join the Baseball Operations Research & Development team. In this role, you will work with other developers to design, build, and maintain the data infrastructure that powers the Angels decision-making processes across scouting, player development, and in-game strategy. The position reports directly to the Senior Director, Research and Development.
This position is benefit-eligible including: medical, dental and vision insurance, 401K eligibility; employee contributions after 3 months, employer matching and safe harbor after 1 year and 1000 hours of employment and additional perks not listed above. The expected annual salary for this position can range from $95,000-$110,000. Final offers for this role will be made within the parameters of the salary range provided.
Responsibilities:
  • Design, develop, and maintain robust data pipelines to collect, transform, and store large volumes of baseball-related data from multiple sources
  • Schedule automated job processes to ingest, aggregate, and manipulate data in real or near-real time
  • Work closely with data scientists, developers, IT, and other stakeholders to ensure data quality, availability, and accessibility
  • Implement data validation and monitoring tools to ensure system reliability and data integrity
  • Contribute to system design decisions and engineering best practices within Baseball Operations

Required Qualifications:
  • Solid working knowledge of Python (2+ years strongly preferred), preferably using pandas
  • Proficient in SQL principles, including table keys, indexes, data modeling, and stored procedures
  • Ability to design scalable, high-performance data solutions
  • Experience using 3rd-party API documentation to build dynamic systems
  • Work in-person at Angel Stadium most days with occasional opportunity for remote work
  • Ability and willingness to work and/or be on-call during nights and weekends as necessary, especially during the baseball season

Preferred Qualifications:
  • Experience designing, building, and maintaining relational databases (SQL Server, PostgreSQL, etc)
  • Knowledge of workflow orchestration tools like Airflow or Dagster
  • Ability to design and implement CI/CD pipelines for testing and deploying applications
  • Experience managing Linux or Windows servers using Bash or Powershell
  • Basic knowledge of storage solutions (NAS, file systems, etc) for storing large volumes of non-relational data
  • Familiarity with cloud-based computing and data warehousing concepts (GCP preferred)
  • Ability to communicate complex technical concepts to non-technical stakeholders
  • A passion for baseball analytics

Physical Demands:
  • Ability to frequently sit for extended periods of time
  • Ability to use hands frequently (for keyboard, mouse and general computer use)
  • Ability to occasionally work in inclement weather (when in stadium)
  • Ability to traverse from office to stadium frequently
  • Ability to occasionally lift up to 20 lbs.

The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required of personnel so classified.
The Angels believe that diversity contributes to a more enriched collective perspective and a better decision-making process. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status, or any other characteristic protected by law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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