Data Scientist, Baseball Analytics

Red Sox; Boston (MA); On-site; USD 75,000 - 100,000; Full time

Benefits offered by this job

Comprehensive healthcare benefits

Retirement plans

Paid time off

Job summary

The Boston Red Sox is seeking a skilled Data Scientist for their Baseball Analytics team in Boston, Massachusetts. This role focuses on developing, evaluating, and optimizing predictive models to enhance decision-making in Baseball Operations. The successful candidate will utilize advanced statistical techniques in a dynamic environment and collaborate with various stakeholders to shape the future direction of the team.

Candidates should have strong analytical skills, a passion for baseball, and proficiency in quantitative fields with tools like SQL, R, or Python. A competitive salary of $75,000–$100,000 is offered, along with a comprehensive benefits package.

Qualifications

• Strong analytical skills and ability to communicate technical concepts effectively.
• Deep understanding of baseball.
• Experience with statistical methods and data science languages.

Responsibilities

• Design and maintain predictive models for player evaluation and performance.
• Create reports and visualizations to communicate analyses.
• Collaborate with different teams to improve data usage.

Skills

Strong analytical skills

Data visualization

Understanding of statistical and machine learning methods

Proficiency in SQL

Proficiency in R or Python

Education

PhD or master's degree in a quantitative field

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 communicatingtechnical findings to inform baseball decisions.

Position Overview

The Boston Red SoxseekaData Scientistfor theclub’sBaseball Analytics departmentto develop, evaluate, andoptimizepredictive models that enhance decision-making across all aspects of Baseball Operations.Operating in a dynamic and intellectually stimulating environment, theData Scientistwill 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 willpossessstrong 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 encouragedfromindividuals with varying levels ofexpertisein 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.