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Careers

Sr Researcher-Baseball Research & Development - Kansas City Royals (Kansas City · MO)

Kansas City Royals jobs
Sports Jobs in Kansas City · MO
Other (consulting, membership, non-profit, real estate): Qualitative Research Experience
*In order to be considered for this role, after clicking "apply now" above and being redirected, you must fully complete the application process on the follow-up screen. *

Job Summary: 
The Kansas City Royals Baseball Club is seeking a highly motivated and creative Senior Researcher to develop models and methodologies for use in decision-making by members of baseball operations. The ideal applicant will possess knowledge of data-driven techniques for use in leveraging baseball data to provide a competitive edge and innovative solutions to the Kansas City Royals.

Reports to the Assistant General Manager, Research and Development

Accountabilities:
  • Leverage statistical learning techniques to improve player evaluation and forecasting
  • Develop novel research ideas and work with other members of baseball operations to cultivate curiosity regarding baseball data
  • Implement project management best practices and mentor other analysts throughout the research and modeling phases of projects
  • Evaluate existing infrastructure for continual improvements and codebase maintenance
  • Communicate R&D products to non-technical stakeholders and utilize their feedback to improve and iterate on tools

Qualifications:
Required
  • Graduate degree or two years’ work experience in statistics, computer science, machine learning, mathematics or a related field
  • Ability to work evening, weekend, and holiday hours during the baseball season is a must
  • Excellent interpersonal/communication skills and ability to interact and work with staff at all levels
  • Ability to recognize and maintain confidentiality of work materials and issues as appropriate
  • Knowledge and understanding of baseball and/or baseball data
  • Proficiency with some of the following tools and/or software: 
    • Python, R, or similar 
    • SQL 

Preferred
  • Comfort with machine learning frameworks such as Tensorflow or PyTorch
  • Experience modeling and visualizing large sets of time series data 
  • Knowledge of Bayesian frameworks such as Stan or Tensorflow Probability
  • Proficiency in Django, HTML, JavaScript, CSS and other web development frameworks

EOE/M/F/D/V