Philadelphia Phillies Baseball Operations Department
Lead Quantitative Analyst
Philadelphia Phillies Baseball Operations Department, Phila, Pennsylvania, United States, 19117
Title:
Lead or Senior Quantitative Analyst, Player EvaluationDepartment:
Baseball Research & DevelopmentReports to:
Director, Predictive ModelingStatus:
Regular Full-TimeLocation:
Philadelphia, PA; also open to Remote
Position Overview:
As a Lead or Senior Quantitative Analyst (QA), Player Evaluation, you help shape the future of Phillies Baseball Operations by building statistical models to forecast player performance and communicating those results to decision-makers. Using analytical rigor and sophisticated statistical modeling techniques, you identify opportunities for the Phillies to improve via the application of forecasts to player development and evaluation. Join a team doing cutting-edge foundational research on biomechanics, human movement, ball-flight physics, and more, with the unique opportunity to apply those findings to player evaluation.
Responsibilities:Conduct and oversee statistical forecasting projects in multiple baseball subject areasCollaborate with baseball subject matter experts in scouting, development, biomechanics, machine learning, decision science, and more, integrating their expertise into player evaluation modelsMaximize organizational impact of the department's player evaluation models by advocating model-driven decision-making in various baseball contextsEnsure projects conform to best practices for implementing, maintaining, and improving predictive models throughout their life cyclesAssist 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 modelingContinually enhance your and your colleagues '
knowledge of baseball and data science through documentation, reading, research, and discussion with your teammates and the rest of the front officeRequired Qualifications:2-5+ years of relevant work or graduate school experiencePossess or are pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experienceTo determine leveling we look at a variety of factors including, but not limited to, years of experience and education. Typically we consider candidates as Lead QA around 2-3 years of experience and Senior QA around 4-5+ years of experienceProficiency 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 stakeholdersProven willingness to both teach others and learn new techniquesWillingness to work as part of a team on complex projectsProven leadership and self-directionPreferred Qualifications:Experience with a probabilistic programming language (Stan, PyMC, etc.)Experience managing or overseeing the work of other data scientists or analystsExperience with model-driven decision-making under uncertainty (eg. 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 catcher in baseball. What models would you build to answer that question, and how would you apply those models to decision-making? (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.
The Phillies are proud to be an equal opportunity employer, and are committed to growing a workforce diverse in perspective and background. We proudly strive to build a group of employees who represent the fans and communities we currently, and aim to, serve.
Lead or Senior Quantitative Analyst, Player EvaluationDepartment:
Baseball Research & DevelopmentReports to:
Director, Predictive ModelingStatus:
Regular Full-TimeLocation:
Philadelphia, PA; also open to Remote
Position Overview:
As a Lead or Senior Quantitative Analyst (QA), Player Evaluation, you help shape the future of Phillies Baseball Operations by building statistical models to forecast player performance and communicating those results to decision-makers. Using analytical rigor and sophisticated statistical modeling techniques, you identify opportunities for the Phillies to improve via the application of forecasts to player development and evaluation. Join a team doing cutting-edge foundational research on biomechanics, human movement, ball-flight physics, and more, with the unique opportunity to apply those findings to player evaluation.
Responsibilities:Conduct and oversee statistical forecasting projects in multiple baseball subject areasCollaborate with baseball subject matter experts in scouting, development, biomechanics, machine learning, decision science, and more, integrating their expertise into player evaluation modelsMaximize organizational impact of the department's player evaluation models by advocating model-driven decision-making in various baseball contextsEnsure projects conform to best practices for implementing, maintaining, and improving predictive models throughout their life cyclesAssist 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 modelingContinually enhance your and your colleagues '
knowledge of baseball and data science through documentation, reading, research, and discussion with your teammates and the rest of the front officeRequired Qualifications:2-5+ years of relevant work or graduate school experiencePossess or are pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experienceTo determine leveling we look at a variety of factors including, but not limited to, years of experience and education. Typically we consider candidates as Lead QA around 2-3 years of experience and Senior QA around 4-5+ years of experienceProficiency 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 stakeholdersProven willingness to both teach others and learn new techniquesWillingness to work as part of a team on complex projectsProven leadership and self-directionPreferred Qualifications:Experience with a probabilistic programming language (Stan, PyMC, etc.)Experience managing or overseeing the work of other data scientists or analystsExperience with model-driven decision-making under uncertainty (eg. 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 catcher in baseball. What models would you build to answer that question, and how would you apply those models to decision-making? (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.
The Phillies are proud to be an equal opportunity employer, and are committed to growing a workforce diverse in perspective and background. We proudly strive to build a group of employees who represent the fans and communities we currently, and aim to, serve.