Position: Kansas City Royals Baseball Analytics Intern

Location: Kansas City

Description:

The Kansas City Royals are looking to add a creative and hard-working Intern to the Baseball Analytics Department. The Intern will work closely with Baseball Analytics to conduct research and develop tools for use by all areas of Baseball Operations (Amateur/Pro Scouting, Advance Scouting, and Player Development). The position will run from February 2016 through the end of the 2016 MLB baseball season.

Responsibilities:

• Work with amateur and professional baseball staff to provide the most relevant statistical support.
• Develop predictive models to assist Baseball Operations in player evaluation.
• Perform advanced statistical analysis on large volumes of baseball data in order to aid in Baseball Operations decision making.
• Monitor latest statistical and baseball research in order to implement the most cutting edge techniques.
• Conduct research on several new types of data to uncover actionable baseball knowledge.
• Work to understand and improve existing information systems.
• Create visualizations to both explore raw data and communicate internal tools throughout Baseball Operations.
• Ad-hoc reports or small studies that come up during the year based on circumstance.

Qualifications:

• Advanced degree or equivalent experience in mathematics, physics, statistics, or related quantitative field. Specialized training, certifications, or published research are a plus.
• Up to date knowledge of statistical analysis techniques, machine learning models, simulation of models and experience with experimental design.
• Experience manipulating (through database systems such as Oracle or SQL Server) and analyzing large data sets.
• Knowledge of baseball and baseball data (Trackman, Statcast, other high frequency data sets) is highly preferred.
• Ability to work evening, weekend, and holiday hours during the baseball season is a must.
• Excellent interpersonal and communications 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.
• Proficiency with the following tools and/or software are required: R, MATLAB, STATA, Minitab, or similar; SQL or MySQL.
• Proficiency with the following tools and/or software are preferred: Python, C++, or similar.

Compensation:
This position is compensated.

To Apply:
Please apply here.