Data Scientist - Baseball Analytics & Strategy

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

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.