The Phillies is hiring a
Lead Quantitative Analyst

closed
Logo of The Phillies

The Phillies

πŸ’΅ $60k-$120k
πŸ“Remote - United States

Summary

The job is for a Lead or Senior Quantitative Analyst in Player Evaluation at the Philadelphia Phillies. The role involves building statistical models to forecast player performance and communicating those results to decision-makers. The position requires 2-5+ years of relevant work or graduate school experience, proficiency with scripting languages such as Python, statistical software, and databases, and demonstrated experience in designing, constructing, implementing, and leading technical research projects for non-technical stakeholders.

Requirements

  • 2-5+ years of relevant work or graduate school experience
  • Possess or be pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience

Responsibilities

  • 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 your teammates and the rest of the front office

Preferred Qualifications

  • 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.)
This job is filled or no longer available

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