Job Posting: Chicago Cubs Analyst (Pitching Evaluation), Research & Development

by
November 18, 2015

Position: Chicago Cubs Analyst (Pitching Evaluation), Research & Development

Location: Chicago

Description:

The Chicago Cubs are seeking an Analyst for the team’s Baseball Research and Development group. The role will focus primarily on using an analytical approach for the evaluation and projection of pitcher performance. The analyst will work closely with the R&D team to develop methods to improve the effective understanding and application of in-game pitch data throughout Baseball Operations. The Chicago Cubs are an Equal Opportunity Employer.

Responsibilities:

  • Research, develop and test methods and models of pitcher performance to support Baseball Operations decision-making.
  • Prepare and explore a variety of pitch data sets and construct workflows to utilize these data.
  • Conduct in-depth evaluation of a wide range of major league, minor league and amateur pitchers.
  • Work closely with all groups within Baseball Operations to successfully combine analytic, scouting and player development information into integrated evaluations.
  • Effectively present analyses through the use of written reports and data visualization methods to disseminate insights to other members of the Baseball Operations staff and leadership.
  • Maintain working expertise of state-of-the-art analytics, including publicly available research and novel statistical approaches, in order to recommend new or emerging techniques, technologies, models and algorithms.
  • Other projects and related duties as directed by Director, Research & Development and Baseball Operations leadership team.

Qualifications:

  • Bachelor’s degree in an analytic field such as statistics, engineering, applied math, physics, quantitative social sciences, computer science, operations research.
  • Demonstrated experience with pitch data analysis and pitch-level datasets (e.g., PITCHf/x or TrackMan).
  • Advanced understanding of statistical methods or machine learning techniques.
  • Demonstrated experience with programming languages (e.g., C, Python or R).
  • Demonstrated ability to communicate technical ideas to non-technical audiences using data visualization.
  • Demonstrated work ethic and passion for baseball operations.
  • Proficiency with modern database technologies.

Compensation:
This position is compensated.

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Paul Swydan used to be the managing editor of The Hardball Times, a writer and editor for FanGraphs and a writer for Boston.com and The Boston Globe. Now, he owns The Silver Unicorn Bookstore, an independent bookstore in Acton, Mass. Follow him on Twitter @Swydan. Follow the store @SilUnicornActon.

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