Quantitative Analyst
Los Angeles Dodgers
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Los Angeles, CA
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0
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Not Applicable
Posted April 2, 2026
Job link
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Responsibilities
Commitments
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
Commitments
Status: Full-Time, Exempt
LOS ANGELES DODGERS LLC is also firmly committed to complying with all applicable laws and governmental regulations at the state and local levels which prohibit discrimination.
LOS ANGELES DODGERS LLC considers all applicants without regard to national origin, race, color, religion, age, sex, sexual orientation, disability, military status, citizenship status, pregnancy or related medical conditions, marital status, ancestry-ethnicity, or any other characteristic protected by applicable state or federal civil rights law.
The Immigration Reform and Control Act requires that LOS ANGELES DODGERS LLC obtain documentation from every individual who is employed, which verifies their identity and authorizes their right to work in the United States.
LOS ANGELES DODGERS LLC is committed to the full inclusion of all qualified individuals.
As part of this commitment, LOS ANGELES DODGERS LLC will ensure that persons with disabilities are provided reasonable accommodations for the hiring process.
If reasonable accommodation is needed, please contact TalentRelations@ladodgers.com.
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What still needs stronger evidence
Requirements
- Experience: 2+ years of experience building and evaluating predictive models in industry or equivalent academic experience
- Core Skills: Proficiency in Python, SQL, version control, and reproducible research practices
- 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
Preferred Skills
- Deep learning track
- 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
- Bayesian modeling track
- 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 Additional signals of impact
- 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
- If you excel in these areas and want to apply that knowledge toward winning championships, we would love to hear from you.
Job Details
Description
The Los Angeles Dodgers currently have a job opportunity for a Quantitative Analyst . Following you will find a brief description of the job and application process. For additional information, please contact TalentRelations@ladodgers.com.
Title: Quantitative Analyst
Department: Quantitative Analysis
Status: Full-Time, Exempt
Pay Rate: $100,000 to $120,000*
Reports to: Director, Quantitative Analysis
Location: Los Angeles
Posting Date: 1/15/26
Compensation rates vary based on job-related factors, including experience, job skills, education, and training.
Summary
The 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. We are especially interested in candidates with either (1) demonstrated strength in deep learning with applications to spatiotemporal data or (2) demonstrated strength in Bayesian hierarchical modeling & probabilistic forecasting.
Essential Duties
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 Minimum Requirements
Experience: 2+ years of experience building and evaluating predictive models in industry or equivalent academic experience
Core Skills: Proficiency in Python, SQL, version control, and reproducible research practices
Preferred Expertise
Deep learning track
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
Bayesian modeling track
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 Additional signals of impact
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
If you excel in these areas and want to apply that knowledge toward winning championships, we would love to hear from you.
Current Los Angeles Dodgers employees should apply via the internal job board in UltiPro by following these prompts:
MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW
LOS ANGELES DODGERS LLC is an equal opportunity employer.
LOS ANGELES DODGERS LLC is firmly committed to providing equal opportunity for all qualified applicants from every race, creed, and background. LOS ANGELES DODGERS LLC is also firmly committed to complying with all applicable laws and governmental regulations at the state and local levels which prohibit discrimination.
LOS ANGELES DODGERS LLC considers all applicants without regard to national origin, race, color, religion, age, sex, sexual orientation, disability, military status, citizenship status, pregnancy or related medical conditions, marital status, ancestry-ethnicity, or any other characteristic protected by applicable state or federal civil rights law. The Immigration Reform and Control Act requires that LOS ANGELES DODGERS LLC obtain documentation from every individual who is employed, which verifies their identity and authorizes their right to work in the United States.
LOS ANGELES DODGERS LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, LOS ANGELES DODGERS LLC will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact TalentRelations@ladodgers.com.
Description
The Los Angeles Dodgers currently have a job opportunity for a Quantitative Analyst . Following you will find a brief description of the job and application process. For additional information, please contact TalentRelations@ladodgers.com.
Title: Quantitative Analyst
Department: Quantitative Analysis
Status: Full-Time, Exempt
Pay Rate: $100,000 to $120,000*
Reports to: Director, Quantitative Analysis
Location: Los Angeles
Posting Date: 1/15/26
Compensation rates vary based on job-related factors, including experience, job skills, education, and training.
Summary
The 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. We are especially interested in candidates with either (1) demonstrated strength in deep learning with applications to spatiotemporal data or (2) demonstrated strength in Bayesian hierarchical modeling & probabilistic forecasting.
Essential Duties
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 Minimum Requirements
Experience: 2+ years of experience building and evaluating predictive models in industry or equivalent academic experience
Core Skills: Proficiency in Python, SQL, version control, and reproducible research practices
Preferred Expertise
Deep learning track
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
Bayesian modeling track
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 Additional signals of impact
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
If you excel in these areas and want to apply that knowledge toward winning championships, we would love to hear from you.
Current Los Angeles Dodgers employees should apply via the internal job board in UltiPro by following these prompts:
MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW
LOS ANGELES DODGERS LLC is an equal opportunity employer.
LOS ANGELES DODGERS LLC is firmly committed to providing equal opportunity for all qualified applicants from every race, creed, and background. LOS ANGELES DODGERS LLC is also firmly committed to complying with all applicable laws and governmental regulations at the state and local levels which prohibit discrimination.
LOS ANGELES DODGERS LLC considers all applicants without regard to national origin, race, color, religion, age, sex, sexual orientation, disability, military status, citizenship status, pregnancy or related medical conditions, marital status, ancestry-ethnicity, or any other characteristic protected by applicable state or federal civil rights law. The Immigration Reform and Control Act requires that LOS ANGELES DODGERS LLC obtain documentation from every individual who is employed, which verifies their identity and authorizes their right to work in the United States.
LOS ANGELES DODGERS LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, LOS ANGELES DODGERS LLC will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact TalentRelations@ladodgers.com.