Quantitative Analyst Associate (Spring/Summer 2026)

Title: Quantitative Analyst Associate
Department: Baseball Research & Development
Reports to: Lead/Senior Quantitative Analyst
Status: Hourly Part-Time Seasonal

Position Overview:

As a Quantitative Analyst (QA) Associate, you help shape The Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data. You do more than just crunch the numbers; you carefully plan the design of your own studies by asking and answering the right questions, while also working collaboratively with other analysts and software engineers on larger projects.

Using analytical rigor, you work with your team as you mine through data and see opportunities for The Phillies to improve. After communicating the results of your studies and experiments to Baseball Operations leadership and executive staff, you collaborate with front office executives, scouts, coaches, and trainers to incorporate your findings into Phillies practices. Identifying the challenge is only half the job; you also work to figure out and implement the solution.

Responsibilities:

• Conduct statistical research projects and manage the integration of their outputs into our proprietary tools and applications (e.g., performance projections, player valuations, draft assessments, injury analyses, etc.)
• 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 to database architecture to ensure efficient application of baseball data

Required Qualifications:

• Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, etc.
• Meaningful experience programming, using analytical software (Python, R, or similar), and interacting with databases
• 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

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

To be considered, all candidates must submit a response for the prompt below:

The R&D department has been asked to identify the best defensive first baseman in baseball. What models would you build to answer that question, and how would you apply those models to decision-making? (250-word limit)

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.