Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Boston Red Sox seek a Senior Data Scientist for the Baseball Analytics department to develop, evaluate, and optimize predictive models that enhance decision-making across all aspects of Baseball Operations. This role will collaborate with stakeholders to influence player personnel decisions and strategic initiatives, shaping the department's data strategy and staying at the forefront of predictive data science.

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.

Requirements

Advanced understanding of modern statistical and machine learning methods.
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.
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.
Effectively demonstrate universal competencies related to problem solving, teamwork, clarity of communication, and time management.
Embody a culture of honesty, humility, relentlessness, and commitment to DEIB.

Skills

Statistical modeling
Machine learning algorithms
Data science
Predictive modeling
Applied research
Experimentation
SQL
R
Python
Data visualization

Location

Boston

Work Type

Full-time

Experience Level

Senior

Education Level

PhD or equivalent professional experience

Salary/Compensations

$100,000–$140,000

Benefits

Healthcare
Retirement plans
Paid time off

About the Company

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.
The Boston Red Sox are seeking to build a championship-winning team.

Equal Opportunity

Commitment to DEIB