Lead​/Senior Quantitative Analyst, Predictive Modeling

Lead/Senior Quantitative Analyst, Predictive Modeling

Location: Philadelphia; also open to Remote

Title: Lead/Senior Quantitative Analyst, Predictive Modeling
Department: Baseball Research & Development
Reports to: Director, Predictive Modeling
Status: Regular Full-Time

As a Lead/Senior Quantitative Analyst, Predictive Modeling, you help shape the future of Phillies Baseball Operations by building statistical models to forecast player performance and communicating those results to decision-makers. You will apply analytical rigor and advanced modeling techniques to identify opportunities for improvement in player development and evaluation, contributing to foundational research on biomechanics, human movement, ball-flight physics, and related areas.

• Conduct and oversee statistical forecasting projects in multiple baseball subject areas
• Collaborate with baseball subject matter experts in scouting, development, biomechanics, machine learning, decision science, and more, integrating their expertise into player evaluation models
• Maximize organizational impact of the department’s player evaluation models by advocating model-driven decision-making in various baseball contexts
• Ensure projects conform to best practices for implementing, maintaining, and improving predictive models throughout their life cycles
• Assist and mentor other members of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball and statistical modeling
• Continually enhance your and your colleagues’ knowledge of baseball and data science through documentation, reading, research, and discussion with teammates and the rest of the front office

• 2-5+ years of relevant work or graduate school experience
• Possess or are pursuing a BS, MS or PhD in Statistics or related fields (e.g., mathematics, physics, or ops research) or equivalent practical experience
• 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 teach others and learn new techniques
• Willingness to work as part of a team on complex projects
• Proven leadership and self-direction

• Experience with a probabilistic programming language (Stan, PyMC, etc.)
• Experience managing or overseeing the work of other data scientists or analysts
• Experience with model-driven decision-making under uncertainty (e.g., a rigorous approach to fantasy sports, poker, etc.)

Interested applicants should submit both their resume and an answer to the following question:
The R&D department has been asked to identify the best defensive center fielder in baseball. What models would you build to answer that question, and how would you apply those models to decision-making? (250 word limit)

Note: There is no defined right or wrong answer; responses are used to understand problem-solving approach and baseball knowledge.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.