Lead Quantitative Analyst

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Requirements:

• 2-5+ years of relevant work or graduate school experience.
• Possess or are pursuing a BS, MS, or PhD in Statistics or related fields or equivalent practical experience.
• Proficiency with scripting languages such as Python and statistical software like R or SAS.
• Experience in designing and implementing technical research projects for non-technical stakeholders.
• Willingness to teach others and learn new techniques.
• Proven leadership and self-direction.

Responsibilities:

• Conduct and oversee statistical forecasting projects in multiple baseball subject areas.
• Collaborate with baseball subject matter experts in various fields to integrate their expertise into player evaluation models.
• Maximize organizational impact of player evaluation models by advocating for model-driven decision-making.
• Ensure projects follow best practices for implementing and improving predictive models.
• Assist and mentor other QA team members, providing guidance on projects.
• Enhance knowledge of baseball and data science through research and team discussions.