← Serch more jobs

Junior Quantitative Analyst

LinkedIn Los Angeles Dodgers Los Angeles, CA
Not Applicable Posted April 2, 2026 Job link
Thinking about this job
Not Met Priorities
What still needs stronger evidence
Requirements
  • Demonstrated experience applying statistics and machine learning to research problems
  • Strong communication skills
  • Passion for baseball
  • Core Skills: Proficiency in Python, SQL, and version control
  • Deep learning track
  • Exposure to deep learning frameworks (Jax/PyTorch/TensorFlow)
  • Experience working with time-series, image, or video data
  • Bayesian modeling track
  • Coursework or projects involving Bayesian statistics and probabilistic programming (NumPyro, PyMC, or Stan)
  • Familiarity with forecasting, uncertainty quantification, or hierarchical modeling Additional signals of impact
  • Understanding of physics and biomechanics
  • Experience with open-source contributions or academic research
  • Experience with agentic coding tools
  • Experience with data analysis in sports, robotics, health wearables, autonomous systems, or aerospace.
Preferred Skills
  • Deep learning track
  • Exposure to deep learning frameworks (Jax/PyTorch/TensorFlow)
  • Experience working with time-series, image, or video data
  • Bayesian modeling track
  • Coursework or projects involving Bayesian statistics and probabilistic programming (NumPyro, PyMC, or Stan)
  • Familiarity with forecasting, uncertainty quantification, or hierarchical modeling Additional signals of impact
  • Understanding of physics and biomechanics
  • Experience with open-source contributions or academic research
  • Experience with agentic coding tools
  • Experience with data analysis in sports, robotics, health wearables, autonomous systems, or aerospace.
  • Baseball research experience is a plus.
Education
  • (Not required) – Bachelor’s or Master’s degree in a quantitative field or equivalent experience