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Baseball Stats Jobs in Massachusetts (NOW HIRING)

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Baseball Stats information

What are baseball stats?

Baseball stats, short for statistics, are numerical measures that track the performance and outcomes of players and teams in baseball games. Common stats include batting average, home runs, runs batted in (RBIs), earned run average (ERA), and strikeouts. These statistics help coaches, players, analysts, and fans evaluate player performance, make strategic decisions, and compare players across seasons. Modern baseball also uses advanced stats like on-base plus slugging (OPS) and Wins Above Replacement (WAR) for deeper analysis. Overall, baseball stats are an essential part of understanding and enjoying the game.

What are some common challenges faced by professionals working in baseball stats analysis?

Professionals in baseball stats often encounter challenges such as managing large volumes of complex data, integrating new metrics or technologies, and translating statistical findings into actionable insights for coaches and players. They must also stay current with evolving analytics trends and communicate their results effectively to team members with diverse backgrounds. Collaboration with scouts, coaches, and other analysts is frequent, requiring strong teamwork and adaptability in a fast-paced environment.

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

To thrive as a Baseball Statistician, you need strong analytical skills, a solid understanding of baseball rules and statistics, and typically a background in mathematics, statistics, or a related field. Familiarity with statistical software such as R or Python, along with experience using databases and data visualization tools, is common. Attention to detail, critical thinking, and effective communication are essential soft skills for translating complex data into actionable insights. These skills enable accurate analysis and meaningful reporting, supporting team strategy and player evaluation in a data-driven sport.

What is the difference between Baseball Stats vs Baseball Data Analyst?

AspectBaseball StatsBaseball Data Analyst
Required CredentialsHigh school diploma or equivalent; knowledge of baseball statisticsBachelor's degree in statistics, data science, or related field; proficiency in data analysis tools
Work EnvironmentSports teams, sports media, or online platformsSports organizations, analytics firms, or media companies
Industry UsageUsed to evaluate player performance informally or for fan engagementUsed for in-depth performance analysis, strategic decisions, and scouting

Baseball Stats typically refer to basic or advanced statistics used to evaluate player performance, often compiled manually or through simple tools. Baseball Data Analysts, however, utilize these stats along with complex data analysis, visualization, and modeling techniques to provide strategic insights. While both roles focus on baseball data, the analyst role involves a higher level of technical skill and analytical depth.

What are popular job titles related to Baseball Stats jobs in Massachusetts?

For Baseball Stats jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Baseball Stats jobs in Massachusetts look for?

The top searched job categories for Baseball Stats jobs in Massachusetts are:

Baseball Stats jobs near you
Infographic showing various Baseball Stats job openings in Massachusetts as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 69% Full Time, 22% Part Time, 5% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Data Scientist, Baseball Analytics

Boston, MA

Boston Red Sox
Sports Teams and Clubs • 501 - 1,000 employees
Learn more about Boston Red Soxexternal

$75K - $100K/yr

Full-time

Medical, Retirement, PTO

Re-posted 26 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 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. Operating in a dynamic and intellectually stimulating environment, the Data Scientist will collaborate closely with the Baseball Analytics team and other Baseball Operations stakeholders to influence player personnel decisions and strategic initiatives. 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 strong 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. Applications are encouraged from individuals with varying levels of expertise in the field. 

The salary range for this position is $75,000–$100,000, 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.  
  • Continuously monitor and evaluate cutting-edge analytics and research from public and academic spaces to recommend innovative ideas, methodologies, and technologies that can enhance on-field performance.  
COMPETENCIES
  • 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 or master's degree 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.
  • 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.
At the Boston Red Sox we go beyond embracing diversity. We’re committed to living by our values, strengthening our community, and creating a workplace where people genuinely feel like they belong. 
 
Too often, job seekers don’t apply to positions because they don’t meet every qualification. If you love this role and are great at what you do, we encourage you to apply. Your unique skills and experiences might just be what we’ve been looking for.
 
Prospective employees will receive consideration without discrimination based on race, religious creed, color, sex, age, national origin, handicap, disability, military/veteran status, ancestry, sexual orientation, gender identity/expression or protected genetic information.