Baseball Analytics Summer Analyst

Los Angeles Dodgers LLC; Los Angeles (CA); On-site; USD 29,000 - 34,000; Part time

Job summary

The Los Angeles Dodgers Quantitative Analysis team is offering a Summer Analyst internship in Los Angeles, California for about 3 months, start and end dates aligned with the academic calendar. This on-site, part-time role reports to the Director of Quantitative Analysis and focuses on applying data science to baseball operations.

Candidates should be rising sophomores, juniors, or seniors (or grad students) pursuing a bachelor's or graduate degree, with experience building predictive models,

Qualifications

• Must be a rising sophomore, junior, or senior pursuing bachelor's OR currently enrolled in a graduate program
• Demonstrated experience building and evaluating predictive models
• Strong coding skills in Python (preferred) or R
• Ability to communicate technical results to non-technical audiences
• Availability to live and work in Los Angeles for the duration of internship
• Unrestricted authorization to work in the United States
• Nice-to-haves: Git/version control
• Nice-to-haves: Numpyro/PyMC/Stan
• Nice-to-haves: Jax/PyTorch/TensorFlow
• Nice-to-haves: time-series, image, or video data

Responsibilities

• Fit and evaluate predictive models of baseball
• Analyze, interpret, and communicate statistical results with appropriate nuance
• Perform ad hoc data analysis to answer urgent questions from groups within baseball operations

Skills

Python

R

Communication

Git

Education

Pursuing bachelor's degree

Graduate student

Tools

Git

Numpyro

PyMC

Stan

Jax

PyTorch

TensorFlow

Job description

The Los Angeles Dodgers Quantitative Analysis team is offering a Summer Analyst internship in Los Angeles, California for about 3 months, start and end dates aligned with the academic calendar. This on-site, part-time role reports to the Director of Quantitative Analysis and focuses on applying data science to baseball operations.

Candidates should be rising sophomores, juniors, or seniors (or grad students) pursuing a bachelor's or graduate degree, with experience building predictive models,