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SENIOR ANALYST, QUANTITATIVE ANALYSIS
Mlb Major League Baseball

   Location: Bronx New York

  Time: 3 months ago

 

Description:
Built upon our storied legacy, the New York Yankees look to attract the best possible talent not just on the field but in the front office as well. It is our shared responsibility to maintain the first-class reputation associated with the franchise in all aspects of our business.
 
The New York Yankees Baseball Operations department is accepting applications for a senior data analyst to join the Quantitative Analysis group.  The Senior Analyst, Quantitative Analysis candidate will help make use of the large amount of baseball data available to influence the long-term direction of the organization.  We are seeking a highly motivated individual who will enthusiastically tackles big challenges and wants to see their work-product make a meaningful impact on the field.
 
Primary Responsibilities:
  • Design, test and implement predictive models using advanced statistical techniques.
  • Introduce new methods and techniques to the department.
  • Help devise long-term strategy.
  • Provide guidance for junior analysts and interns.
  • Communicate ideas and findings to a non-technical audience.
 
Qualifications and Experience: 
  • Ph.D. in Mathematics, Statistics, Computer Science, or related field required or 3+ years equivalent professional experience.
  • Expertise building predictive models.
  • Experience using SQL.
  • Familiarity with current baseball research.
  • Familiarity with Stan a plus.
 
This description is intended to describe the type of work being performed by a person assigned to this position.  It is not an exhaustive list of all duties and responsibilities required of the employee.  The New York Yankees are an Equal Opportunity Employer.  The Company is committed to the principles of equal employment opportunity for all employees and applicants for employment.
 
The base annual salary for this position is $125,000-$165,000, plus a comprehensive benefits package.

Job Questions:

  1. What are your salary requirements? Please be specific