Los Angeles Dodgers · 20 hours ago
Quantitative Analyst
Los Angeles, CA
Full-time
Onsite
Entry, Mid Level
$100K/yr - $120K/yr
2+ years expThe Los Angeles Dodgers are looking for quantitative baseball researchers to turn data into actionable insights through the use of mathematical and statistical models. Analysts build and evaluate models, engineer and orchestrate model deployment, and provide data-driven insights to coaches and front office decision-makers on decisions regarding on-field strategy, player development, and player evaluation.
BaseballSporting GoodsSports
Responsibilities
Develop, refine, and maintain models of baseball, integrating new data sources and methods where appropriate
Collaborate across the organization to identify important research questions and translate model outputs into actionable recommendations for player evaluation, development, and in-game strategy
Own production code end-to-end: data management, version control, CI/CD, testing, deployment, and monitoring
Develop internal tools and facilitate code reuse
Mentor junior analysts and represent the Dodgers at conferences, workshops, and campus events
Qualification
Required
2+ years of experience building and evaluating predictive models in industry or equivalent academic experience
Proficiency in Python, SQL, version control, and reproducible research practices
Preferred
You have built and evaluated deep-learning models for tasks such as detection, segmentation, motion forecasting, or anomaly detection in jax, PyTorch, or a similar tensor library
You have built models using data from spatial sensors
You have built models that incorporate physics, domain constraints, or graph structure
You have built and evaluated Bayesian hierarchical models
You have implemented Gaussian-process, state-space, or other latent-factor structures for time-series forecasting in domains with sparse or noisy data
You have written probabilistic models in NumPyro, PyMC, or Stan with custom likelihoods and priors
You have applied predictive distributions to decision-making in some domain
Understanding physics and biomechanics
Experience with agentic coding tools
Experience deploying ML systems using terabytes of data
Success applying data analysis in sports, robotics, health wearables, autonomous systems, or aerospace. Baseball research experience is a plus
Experience writing queries on large SQL databases, engineering ETL pipelines, and/or working with data lakehouses
Company
Los Angeles Dodgers
Los Angeles Dodgers is an American professional baseball team based in Los Angeles, California.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Kenneth Andrew Friedman
President of Operations
Recent News
2026-01-17
2026-01-16
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