Quantitative Analyst
*Compensation rates vary based on job-related factors, including experience, job skills, education, and training.
The Los Angeles Dodgers are looking for quantitative baseball researchers to turn data into actionable insights through use of mathematical and statistical models. Analysts are expected to build and evaluate models, follow best practices in developing and deploying code, and provide data-backed opinions to coaches and front office decision-makers on decisions regarding on-field strategy, player development, and player evaluation.
Essential Duties & Responsibilities:
Maintain and make improvements to our core predictive models
Contribute features to internal tooling
Understand the needs of users and evaluate the day-to-day impact of analytics products
Perform ad hoc data analyses to answer urgent questions from front office leadership and other groups within baseball operations
Advise executives and coaches on player evaluation, player development, and on-field strategy
Make public appearances to student and professional groups to aid departmental recruiting efforts
Provide mentorship to junior analysts, interns, and various members of the Dodgers organization not coming from a technical background.
Basic Requirements/Qualifications:
Passionate about winning championships
2+ years of experience building and evaluating predictive models in industry or equivalent experience in academia
Experience maintaining a well-organized, well-documented code repository
Nice to Haves
Experience using data to advise decision-making in some domain
Experience with model deployment and tools for automating data science workflows
Experience mentoring early-career data scientists
Experience with Bayesian Statistics
Experience with spatial statistics
Experience with analysis of time series data
Experience with machine learning, particularly problems involving computer vision
Experience maintaining and monitoring machine learning models in production
Experience with SQL
Experience doing baseball research