Baseball Operations R&D Intern

The San Francisco Giants are seeking an analytically-focused intern to join the R+D department within Baseball Operations, with opportunities available for both summer and year-round internships. This individual will be part of the R&D team and focus on providing support to ongoing research projects while owning some small initiatives themselves. The ideal candidate will possess strong analytical skills, demonstrated ability to learn quickly in a fast-paced environment, and both passion and intellectual curiosity for the game of baseball.

Position Responsibilities: ● Actively participate in research initiatives within the Modeling, Research, and Performance Science Depts. ● Act as a thought partner in project design and methodology, offering careful consideration of factors like uncertainty, confounding variables, and signal-to-noise ratio. ● Prototype research outputs into lightweight tools and visualizations for use across Baseball Ops. ● Perform ad-hoc statistical analysis and quantitative research to support various areas of Baseball Ops. ● Own small-scale (or larger!) research projects and see them through to completion. ● Keep up-to-date on the frontier of public baseball research and AI tool integration to enhance workflows.

Skills and Qualifications: ● Experience in a quantitative field, such as engineering, physical sciences, computer science, or applied math. ● Fluency in SQL and at least one general-purpose programming language (e.g. Python, R). ● Top-notch critical thinking skills, including ability to identify data issues; ability to articulate assumptions, limitations, and uncertainties in a process; and ability to distill complex topics into interpretable results. ● Passion and curiosity for baseball analytics. ● Strong work ethic with a voracious appetite to learn on the fly. ● Positive attitude and willingness to contribute to team culture. ● Experience with machine learning and/or computer vision is a plus.

At the San Francisco Giants, we carefully consider a wide range of factors when determining compensation. Including your background and experience. These considerations can cause your compensation to vary. The hourly range for this position will be $25.00 to $30.00.