Data Scientist, Baseball Analytics

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.

Requirements

• Understanding of modern statistical and machine learning methods and an advanced proficiency with popular data science languages and libraries.
• Praactical 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.

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.

Skills

• Strong analytical skills.
• Deep understanding of baseball.
• Able to communicate technical concepts to non-technical audiences effectively.

Benefits

• Comprehensive benefits package including healthcare, retirement plans, paid time off, and more.

Pay

• $75,000–$100,000 based on relevant experience and internal equity.

Schedule

• Full-time position.