Senior Quantitative Analyst
Job Overview
The Chicago White Sox are seeking a Senior Quantitative Analyst with exceptional statistical expertise to enhance model development for our growing R&D team. You will design and deploy complex models to inform critical decisions in player evaluation, development and strategy, while coaching other analysts in the use of advanced statistical methods and best practices.
Job responsibilities
- Design, build, and deploy production-grade statistical models for player prediction, evaluation, and strategic decision-making
- Own end-to-end modeling project: research question formulation, statistical design, implementation, validation and deployment
- Adhere to the team’s statistical best practices, coding standards, and reusable modeling infrastructure
- Mentor junior analysts in advanced statistical techniques, experimental design, and model development workflows through code reviews and technical workshops
- Transform complex statistical results into actionable insights for coaches, scouts and front office managers
Required qualifications
Educational background and experience
- Bachelor’s degree in statistics, mathematics, computer science, or related quantitative field
- 3-5 years building and deploying predictive models in industry or advanced graduate training
technical skills
- Proficient in R or Python and SQL
- Deep expertise in Bayesian statistics and practical experience building custom Bayesian models
- Strong experience with probabilistic programming languages (Stan, PyMC, JAGS, or similar)
- Familiarity with machine learning methods (regression, classification, ensemble methods, neural networks), causal inference methods, and core algorithms for optimization and model fitting
- Experience with version control (Git) and building production model pipelines
Professional attributes
- Strong analytical and problem-solving skills, with a focus on statistical rigor
- Excellent communication skills for both technical and non-technical audiences
- Ability to independently work on long-term projects and manage multiple priorities
- Passionate about coaching and improving team capabilities
Priority qualifications
- Graduate degree (Master’s or PhD) in statistics or related quantitative field
- More than 5 years of modeling experience in industry or related fields
- Learn about current baseball research and sabermetrics
About our culture
We are building a growing analytics team where every member has the opportunity to make a meaningful contribution. Our team is guided by three core values:
- Process driven: We strive to build strong analytical frameworks, document thoroughly, and build scalable and sustainable systems
- communicate: We transform complex findings into actionable insights for diverse audiences
- Influence: We measure success by how our models impact real-world decisions and results
working conditions
- Flexible hours, including evenings, weekends and holidays, depending on baseball calendar
- Ability to handle confidential information with care
- occasional business trip
compensation:
Benefits include:
- healthy
- Dentistry
- Life
- Add to
- Ltd.
- Defined Benefit Plan (Major League Baseball Non-Uniformed Personnel Pension)
- Voluntary supplementary life
- Voluntary Supplementary AD&D
- voluntary vision
- Voluntary pet insurance
- Voluntary 401(k)
- Voluntary flexible benefits (FSA, transportation, dependent care)
- Free White Sox Tickets
- free lunch
- holiday
- promotional items
The Chicago White Sox are an equal opportunity employer committed to developing a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability or any other status or characteristic protected by applicable federal, state, or local law.
Please attach resume and cover letter.
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