Data Scientist, Baseball Analytics

Boston Red Sox
Location
Boston, Massachusetts
Job Type
Full-time
Posted
July 1, 2026
Views
4
Salary Range
$75k - $100k USD

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.

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The position is located in Boston, Massachusetts. The job posting does not specify a remote or hybrid work-mode policy, indicating it is an on-site role.
What are the key responsibilities of this role?
You will design and maintain predictive models and data pipelines, write reports and data visualizations to communicate complex analyses, partner with the Baseball Systems team to integrate findings, and monitor cutting-edge public and academic research to recommend innovative methodologies.
What qualifications and experience are required?
You need a PhD or master's degree in a quantitative field (or equivalent professional experience), proficiency in SQL and programming languages like R or Python, and a passion for baseball. Candidates should understand modern statistical/machine learning methods and have experience visualizing and presenting analyses.
What is the salary range for this position?
The salary range is $75,000 to $100,000, based on relevant experience and internal equity. The specific role, level, and compensation package will be tailored to the selected candidate's qualifications and experience.
What benefits does the company offer?
Full-time employees receive a comprehensive benefits package that includes healthcare, retirement plans, paid time off, and more.

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Job Information

Source: builtin
Remote Type: onsite
Allowed Locations: Boston, Massachusetts
Skills & Tags:
boston biotech

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