Quant Analytics Summer Analyst — Predictive Modeling

Los Angeles Dodgers co; Los Angeles (CA); On-site; USD 28,000 - 36,000; Part time

Job summary

The Los Angeles Dodgers LLC invites applications for a Summer Analyst in the Quantitative Analysis department in Los Angeles, CA. This is a part-time, three-month internship with start and end dates aligned to the academic calendar.

Responsibilities include fitting and evaluating predictive models, interpreting statistical results, and performing ad hoc analyses to support Baseball Operations. Candidates should show strong Python (or R) skills and be eligible to work in the United States.

Qualifications

• Must be a rising sophomore, junior, or senior pursuing a bachelor's degree OR are currently enrolled in a graduate program at an accredited institution.
• 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 your internship.
• Unrestricted authorization to work in the United States.

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

Git

GitHub

Time-series

Deep learning

Jax

PyTorch

TensorFlow

Probabilistic programming

Image data

Video data

Education

Bachelor's degree in a relevant field

Tools

Git

GitHub

Numpyro

PyMC

Stan

Jax

PyTorch

TensorFlow

Job description

The Los Angeles Dodgers LLC invites applications for a Summer Analyst in the Quantitative Analysis department in Los Angeles, CA. This is a part-time, three-month internship with start and end dates aligned to the academic calendar.

Responsibilities include fitting and evaluating predictive models, interpreting statistical results, and performing ad hoc analyses to support Baseball Operations. Candidates should show strong Python (or R) skills and be eligible to work in the United States.