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Baseball Data Analyst Jobs (NOW HIRING)

Doist

Tech Ops Director, Baseball

Atlanta, GA · On-site

$88 - $126/hr

Ensure roll-outs meet reliability, latency and data-quality targets across all leagues and ... Lead the service management function, including incident response, root-cause analysis, change ...

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PlayStation Global

Baseball Test Analyst

San Diego, CA · On-site

$17.75 - $18/hr

The Baseball Test Analyst is expected to support the PlayStation Studios QA department in all areas ... data for the market and geographic location. Please note that the individual base pay range may ...

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How much do baseball data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for baseball data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a baseball data analyst?

A Baseball Data Analyst is a professional who uses statistical methods and data modeling to evaluate player performance, team strategies, and game outcomes in baseball. They collect and analyze data from games, practices, and scouting reports to provide insights that can help teams make informed decisions. Their work might include creating predictive models, visualizing trends, and presenting findings to coaches, managers, or front office staff. Baseball Data Analysts play a key role in player recruitment, development, and in-game strategy. They typically have a background in statistics, mathematics, or computer science, often paired with a deep understanding of baseball.

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

To thrive as a Baseball Data Analyst, you need strong quantitative analysis skills, a background in statistics or mathematics, and a solid understanding of baseball fundamentals. Proficiency with data analysis tools such as R, Python, SQL, and experience using baseball-specific data platforms like TrackMan or Statcast are typically required. Exceptional attention to detail, effective communication, and the ability to work collaboratively with coaches and players make someone stand out in this role. These skills and qualities are crucial for accurately interpreting data, informing strategic decisions, and maximizing team performance.

How does a baseball data analyst typically collaborate with coaches and players to improve team performance?

Baseball Data Analysts work closely with coaches and players by translating complex data into actionable insights that can impact game strategy and player development. They often present statistical findings in clear, visual formats to help coaches make informed decisions about lineups, defensive positioning, and in-game tactics. Regular meetings and open communication ensure that data-driven recommendations are understood and integrated into training sessions and game plans. This collaboration fosters a culture of continuous improvement and innovation within the team.

What does a baseball data analyst do?

As a baseball data analyst, your primary responsibilities are to gather baseball statistics, provide analysis, and report the results to understand frameworks for players and develop a model. Your duties may involve using advanced statistical methods, completing data mining, designing and testing predictive models, creating tools, integrating data, and executing SQL databases. You work with sabermetrics and other analytical software to evaluate the performance of players during games throughout the season and interpret that information to assist teams with player decisions. Baseball data analysts work for the MLB as well as collegiate teams.

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Baseball data analyst jobs near you
Infographic showing various Baseball Data Analyst job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Scientist, Baseball Analytics

Boston Red Sox

Boston, MA • On-site

$100 - $140/hr

Other

Medical, Retirement, PTO

Re-posted 11 days ago

Job description

DEPARTMENT OVERVIEW

Baseball Analytics is the quantitative research and data science group within Baseball Operations. We develop statistical models, machine learning algorithms, and analytical tools that support decision‑making across Baseball Operations including player acquisition, player development, and player optimization. Core responsibilities include predictive modeling, applied research, experimentation, and communicating technical findings to inform baseball decisions.

POSITION OVERVIEW

The Boston Red Sox seek a Senior Data Scientist for the club’s Baseball Analytics department to develop, evaluate, and optimize predictive models that enhance decision‑making across all aspects of Baseball Operations. The Senior Data Scientist will collaborate closely with the Baseball Analytics team and other Baseball Operations stakeholders to influence player personnel decisions and strategic initiatives. As a senior member of the team, the Senior Data Scientist will help shape the data strategy of the department, influencing team growth and keeping the group on the cutting edge of predictive data science. This role offers a unique opportunity to apply advanced statistical techniques and data science to shape the team's future direction.

The successful candidate will possess excellent analytical skills, a deep understanding of baseball, and the ability to communicate technical concepts to non‑technical audiences effectively. The specific role, level, and compensation package will be tailored to the selected candidate's qualifications and experience.

The salary range for this position is $100,000–$140,000, based on relevant experience and internal equity. Our full‑time employees also receive a comprehensive benefits package, including healthcare, retirement plans, paid time off, and more.

RESPONSIBILITIES
  • Design and maintain robust predictive models and data pipelines to generate insights for player evaluation, acquisition, development, and performance optimization.
  • Craft compelling written reports and data visualizations to effectively communicate complex analyses to diverse audiences, including both technical specialists and Baseball Operations leadership.
  • Partner with the Baseball Systems team to seamlessly integrate new analytical findings into team applications and proactively identify and address data quality issues.
  • Take an active role in evaluating cutting‑edge analytics and research from public and academic spaces to drive innovative ideas and methodologies to help continuously improve the department.
  • Introduce creative and novel methodologies to improve existing processes and enhance departmental decision making.
COMPETENCIES
  • Advanced understanding of modern statistical and machine learning methods and an advanced proficiency with popular data science languages and libraries.
  • Practical understanding of how to approach research questions to drive actionable insights.
  • Able to visualize, present and disseminate analyses to a diverse group of stakeholders (leadership, coaches, players, scouts, etc.) in a clean, intuitive, and engaging way.
ADDITIONAL QUALIFICATIONS
  • PhD in a quantitative field (such as statistics, engineering, applied mathematics, physics, quantitative social sciences, computer science, computer vision, or operations research) or equivalent professional experience.
  • Expert proficiency in SQL and programming languages such as R or Python.
  • A passion for baseball and a strong desire to contribute to building a championship‑winning team.

In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.

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