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Manager Baseball Statistician Jobs (NOW HIRING)

Sourcewell

JH Baseball Coach- 7th grade

Staples, MN

JH Baseball Coach 7th grade QUALIFICATIONS: 1. Has the background knowledge of baseball including ... Directs student managers and statisticians. EQUIPMENT: 14. Is accountable for all equipment and ...

Sourcewell

JH Baseball Coach- 7th grade

Staples, MN · On-site

Royalton School District 485 JH Baseball Coach 7th grade QUALIFICATIONS: 1. Has the background ... Directs student managers and statisticians. EQUIPMENT: 14. Is accountable for all equipment and ...

Bay College

Assistant Baseball Coach

Escanaba, MI · On-site

... Managers, and Student workers. Supervision Received Works under the general supervision of the Head ... Computer, recruiting and statistic software, tablet, stopwatch, baseballs, pitching machine, radar ...

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How much do manager baseball statistician jobs pay per year?

As of Aug 7, 2026, the average yearly pay for manager baseball statistician in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is a manager baseball statistician?

Manager Baseball Statisticians are professionals who oversee the collection, analysis, and interpretation of baseball data to support a team’s decision-making processes. They manage statistical teams, coordinate data tracking during games, and ensure the accuracy of player and game statistics. Their work helps coaches and executives make informed choices about player performance, strategy, and scouting. Additionally, they may present analytics reports and develop new statistical models to improve team outcomes.

How to become a manager baseball statistician?

To become a manager baseball statistician, candidates typically need a strong background in statistics, data analysis, or related fields, often holding a bachelor's degree or higher. Experience with baseball analytics, familiarity with statistical software, and knowledge of the game are important. Building a portfolio of work and networking within the sports industry can also help advance to managerial roles.

What is the difference between Manager Baseball Statistician vs Baseball Data Analyst?

AspectManager Baseball StatisticianBaseball Data Analyst
CredentialsTypically requires a degree in statistics, sports management, or related field; experience in baseball analyticsUsually holds a degree in statistics, data science, or related discipline; familiarity with baseball data
Work EnvironmentWorks with coaching staff, team management, and players; often within a sports organizationWorks with large datasets, software tools, and visualization platforms; may be employed by teams or analytics firms
Industry UsageCommonly employed in professional and college baseball teams for strategic decisionsUsed across sports organizations, media, and analytics companies for data-driven insights

The main difference is that a Manager Baseball Statistician focuses on managing and applying baseball statistics within a team setting, often overseeing other analysts, while a Baseball Data Analyst primarily analyzes data to generate insights, often working independently or in broader analytics roles. Both roles require strong analytical skills and baseball knowledge but differ in responsibilities and work environment.

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

To thrive as a Manager Baseball Statistician, you need a strong background in statistics, data analysis, and baseball knowledge, often backed by a degree in statistics, mathematics, or a related field. Familiarity with analytical software like R, SQL, Python, and experience with baseball data systems such as TrackMan or Statcast are typically required. Outstanding attention to detail, communication skills, and the ability to collaborate with coaches and players set top candidates apart. These skills are crucial for accurately analyzing player performance, informing strategic decisions, and supporting team success.

How does a manager baseball statistician typically collaborate with coaching staff and players to influence game strategy?

A Manager Baseball Statistician works closely with coaches and players by analyzing statistical data to provide actionable insights that shape game strategy and player development. They present data-driven recommendations during pre-game meetings, review player performance metrics, and suggest adjustments based on opponent tendencies. Effective communication and the ability to translate complex statistics into practical advice are vital, as the role often serves as a bridge between analytics and on-field decision-making. Collaborative teamwork and adaptability are essential, especially during high-pressure situations where real-time data can impact in-game strategies.

How much do manager baseball statisticians make?

Manager baseball statisticians typically earn between $50,000 and $100,000 annually, depending on experience, level of expertise, and the organization. Higher salaries are common in Major League Baseball, especially for those with advanced analytical skills and certifications in data analysis or sports statistics.
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Manager Baseball Statistician jobs near you
Infographic showing various Manager Baseball Statistician job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.

Senior Data Scientist, Baseball Analytics

Boston Red Sox

Boston, MA • On-site

$100 - $140/hr

Other

Medical, Retirement, PTO

Re-posted 7 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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