Senior Analyst, Integrative Baseball Performance

Title:  Senior Analyst, Integrative Baseball Performance
Reports to: Director, Integrative Baseball Performance
Location:  Philadelphia, PA; Clearwater, FL; or open to Remote

Position Overview:
Analysts with the Phillies are tasked with maximizing organizational impact, in pursuit of building a consistent World Series contender. As a Senior Analyst in the Integrative Baseball Performance department, you tackle baseball’s most difficult problems in biomechanics, leveraging proprietary data sources to systematically improve player evaluation, development, performance, and health at scale.

You work closely with technical staff and performance specialists in Baseball Operations to outline a strategic vision for the future of biomechanics research at the Phillies. You internalize cutting-edge insights from the Phillies’ Research & Development department in player evaluation and development, leveraging those insights in biomechanics research that are effortlessly additive to our existing player acquisition and development paradigms. 

Success in this role would involve improving our existing player evaluation tools, identifying novel and high-value avenues of biomechanics research, building systems to improve the efficiency and value of player assessment data collection, and seeing an integrative, best-in-class baseball performance process incorporated into organizational decision-making, spanning player acquisition and player development. 

Responsibilities

• Develop and implement sophisticated predictive models to forecast player performance and injury risks using biomechanical and player data.
• Utilize research findings to assist in creating individualized training and development programs for players.
• Effectively communicate complex findings and recommendations to non-technical stakeholders, including coaches, players, and management.
• Conduct and oversee performance research projects and manage the integration of their outputs into our proprietary tools and applications, in direct support of player evaluation, acquisition, development, and performance maximization
• Conduct detailed biomechanical assessments of players, focusing on pitching and batting mechanics, to identify areas for performance enhancement and injury prevention
• Analyze data from motion capture systems, wearable technology, and other biomechanical measurement tools
• Ensure projects conform to best practices for implementing, maintaining, and improving predictive models throughout their life cycles
• Communicate with front office executives, scouts, coaches, and medical staff to design and interpret statistical studies
• Assist the rest of the Integrative Baseball Performance teams with their projects by providing guidance and feedback on your areas of expertise
• Provide education and training to players and staff on biomechanical principles and their application to baseball
• Continually enhance your and your colleagues’ 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, ingestion, display, and analysis of biomechanics data
• Rigorously identify and vet novel data sources, collection methodologies, or technologies that could be additive to our processes, supporting the organization in implementing them in a scientifically and statistically robust manner

Required Qualifications

• Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
• Demonstrated experience in handling, analyzing, and interpreting high-performance data in sports
• Proficiency with scripting languages such as Python, statistical software (R, S-Plus, SAS, or similar), and databases (SQL)
• Demonstrated experience designing, constructing, implementing, and leading technical research projects for use by non-technical stakeholders
• 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 
• Flexibility to adapt to the changing needs of a dynamic sports environment, including irregular hours

Preferred Qualifications

• BS, MS or PhD in a related quantitative (Math, Statistics, Operations Research, etc.) or scientific field (Biomechanics, Biology, Physics, Bioengineering, etc.), or equivalent practical experience
• Familiarity with best practices in machine learning operations (Git, Docker, MLFlow or the equivalent)
• Experience desi