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.
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