Baseball Operations R&D Intern

San Francisco GiantsSan Francisco, CA
Onsite

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • Experience with machine learning and/or computer vision is a plus.

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.

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What This Job Offers

Job Type

Part-time

Career Level

Intern

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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