Lead Quantitative Analyst

Title: Lead Quantitative Analyst
Department: Baseball Research & Development
Reports to: Director, Baseball Research & Development
Status: Regular Full-Time
Location: Philadelphia, PA; also open to Remote

Position Overview:
As a Lead Quantitative Analyst (QA), you help shape the Phillies Baseball Operations strategies by processing, analyzing, and interpreting large and complex data, while providing guidance and feedback to other quantitative analysts as they do the same. 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 to lead 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 the GM 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 and oversee 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.)
• 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 and mentor other members of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball, statistics, data visualization, and programming
• Manage other analysts and their projects to ensure that QA work meets technical standards and aligns with the needs of stakeholders
• 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 of baseball data

Required Qualifications:

• 3-5+ years of relevant work experience and some familiarity with baseball, sabermetrics, or sports analytics in general, or an ability to show meaningful completed projects in this space
• Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods, time series modeling, forecasting, etc.
• 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

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
• Familiarity with best practices in machine learning operations (Git, Docker, MLFlow or the equivalent)
• Experience managing or overseeing the work of other data scientists or analysts
• Experience with a probabilistic programming language (Stan, PyMC, etc.)

Interested applicants should submit both their resume and an answer to the following question:

The R&D department has been asked to provide a recommendation to promote or not promote a position player/hitting prospect from AA to AAA. What information would you consider in formulating your recommendation? (250 word limit)

Tip: There’s no defined right or wrong answer. Responses are used to get some insight into how you approach problem solving and baseball in general.

To Apply:
To apply, please follow this link.

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Quantitative Analyst

Title: Quantitative Analyst
Department: Baseball Research & Development
Reports to: Director, Baseball Research & Development
Status: Regular Full-Time
Location: Philadelphia, PA; also open to Remote

Position Overview:
As a Quantitative Analyst (QA), 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 the GM 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, e)
• 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

Required Qualifications:

• 0-3+ years of relevant work experience
• Deep understanding of statistics, including supervised and unsupervised learning, regularization, model assessment and selection, model inference and averaging, ensemble methods,
• Ability to demonstrate some baseball knowledge and how quantitative analytics can provide value to a baseball organization
• Meaningful work experience with statistical software (R, S-Plus, SAS, 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

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
• Experience drawing conclusions from data, communicating those conclusions to decision makers, and recommending actions

Interested applicants should submit both their resume and an answer to the following question:

The R&D department has been asked to provide a recommendation to promote or not promote a pitching prospect from AA to AAA. What information would you consider in formulating your recommendation? (250 word limit)

Tip: There’s no defined right or wrong answer. Responses are used to get some insight into how you approach problem solving and baseball in general.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Philadelphia Phillies.