The Baseball Operations department of the New York Yankees is seeking talented recent and upcoming graduates for a couple of positions. These roles, which are akin to fellowships, last 12 months and are intended to prepare recent graduates for a career in Baseball Operations.
The specifics on the roles sought to fill for the coming year are as follows:
- Associate, Quantitative Analysis: This position will give students hands-on experience with quantitative projects related to player evaluation, player development, and/or in-game strategy. For this role, we are looking for students with strong quantitative reasoning, familiarity with statistical programming, and a passion for baseball.
- Associate, Baseball Operations: This position will give students hands-on experience with various important baseball operations tasks, including advance scouting, data collection and entry, and video charting. For this role, we are looking for candidates who are highly detail-oriented and have solid working knowledge of current baseball players, rules, and strategies.
The main difference between the above 2 roles is that the Quantitative Analysis position is almost solely dedicated to statistical analysis to inform baseball operations decisions. The Baseball Operations position involves less of the quantitative side (although statistical projects will come up) and deals more with assisting the advance scouting process, charting games from video, and general baseball operations administration.
A few important logistical details:
- Given that this is a 12-month role, we are only looking for students who graduate in or before Summer 2020.
- Applications are rolling and we get a large volume of applications, so we encourage students to apply as soon as possible.
- We only take applications via the links above. We will not review resumes or take applications anywhere else.
If you have any specific questions not addressed here, you can contact Justin Sims (Quantitative Analyst, Baseball Operations, New York Yankees) at jsims@yankees.com.
