The Phillies is hiring a
Quantitative Analyst Associate

Summary

Join our team as a Quantitative Analyst Associate and help shape The Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. As a QA Associate, you will work collaboratively with other analysts and software engineers on larger projects, mine through data to identify opportunities for improvement, communicate results to Baseball Operations leadership and executive staff, and collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices.

Requirements

• Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc
• Meaningful work experience with statistical software (R or similar), databases, and scripting languages such as Python
• Proven willingness to both teach others and learn new techniques
• Willingness to work as part of a team on complex projects
• Proven leadership and self-direction

Responsibilities

• Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications
• Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
• Assist the rest of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
• Continually enhance your knowledge of baseball and data science through reading, research, and discussion with your teammates and the rest of the front office
• Provide input in architecting the storage of baseball data

Preferred Qualifications

• Possess or are pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience
• 0-5+ years of relevant work experience
• Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions