Junior Quantitative Analyst

The Los Angeles Dodgers currently have a job opportunity for a Junior Quantitative Analyst. Following you will find a brief description of the job and application process. For additional information, please contact TalentRelations@ladodgers.com.

Title:                           Junior Quantitative Analyst  

Department:              Quantitative Analysis

Status:                        Full-Time, Exempt

Pay Rate:                   $85,000 to $ $95,000*

Reports to:                 Director, Quantitative Analysis

Location:                     Los Angeles     

Posting Date:             1/15/26

Deadline:                    1/20/26

 

*Compensation rates vary based on job-related factors, including experience, job skills, education, and training.

Summary

The Los Angeles Dodgers are looking for early-career quantitative baseball researchers who are passionate about baseball and excited to apply data science to player evaluation, development, and strategy. You will work with experienced researchers to design and implement statistical and machine learning models that provide impact on and off the field.

We are especially interested in candidates with either (1) experience in deep learning with applications to spatiotemporal data or (2) experience in Bayesian hierarchical modeling & probabilistic forecasting.

Essential Duties

• Assist in the development, refinement, and maintenance of models of baseball, integrating new data sources and methods where appropriate
• Collaborate across the organization to identify and answer important research questions
• Write clear, reliable code for data analysis and model implementation
• Learn, implement, and develop best practices for model development
• Participate in internal seminars and code reviews to grow technical and baseball knowledge

 

Minimum Qualifications Requirements

• Bachelor’s or Master’s degree in a quantitative field or equivalent experience
• 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

 

You will stand out if you fit into one of the following tracks

•  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.

 

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.