Senior Quantitative Analyst bei Chicago White Sox

Position Overview 

The Chicago White Sox is seeking a Senior Quantitative Analyst with exceptional statistical expertise to enhance model development for our growing Research & Development team. You'll design and deploy sophisticated models that inform critical decisions across player evaluation, development, and strategy—while mentoring other analysts in advanced statistical methods and best practices.

Job Responsibilities 

• Design, build, and deploy production-grade statistical models for player forecasting, evaluation, and strategic decision-making
• Own modeling projects end-to-end: research question formulation, statistical design, implementation, validation, and deployment
• Adhere to statistical best practices, coding standards, and reusable modeling infrastructure for the team
• Mentor junior analysts in advanced statistical techniques, experimental design, and model development workflows through code reviews and technical workshops
• Translate complex statistical findings into actionable insights for coaches, scouts, and front office executives

Required Qualifications

Education & 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

• High proficiency in R or Python and SQL
• Deep expertise in Bayesian statistics with hands-on 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 approaches, 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 attention to statistical rigor
• Excellent communication skills for both technical and non-technical audiences
• Ability to work independently on long-term projects and manage multiple priorities
• Passion for mentoring and elevating team capabilities

Preferred Qualifications

• Graduate degree (M.S. or Ph.D.) in Statistics or related quantitative field
• 5+ years of experience building models in industry or relevant field
• Knowledge of current baseball research and sabermetrics

About Our Culture

We are building a growing analytics team where every member has the opportunity to make meaningful contributions. Our team is guided by three core values:

• Process Driven: We strive to establish robust analytical frameworks, document thoroughly, and build sustainable systems that scale
• Communication: We translate complex findings into actionable insights for diverse audiences
• Impact: We measure success by how our models influence real decisions and outcomes

Working Conditions

• Flexible hours including evenings, weekends, and holidays as dictated by the baseball calendar
• Ability to handle confidential information with discretion
• Occasional travel

Compensation:

• $90,000 - $100,000

Benefits include:

• Health
• Dental
• Life
• AD&D
• LTD
• Defined Benefit Plan (Major League Baseball Pension for Non-Uniformed Personnel)
• Voluntary Supplemental Life
• Voluntary Supplemental AD&D
• Voluntary Vision
• Voluntary Pet Insurance
• Voluntary 401(k)
• Voluntary Flex Benefits (FSA, Transportation, Dependent Care)
• Complimentary White Sox Tickets
• Complimentary Lunch
• Holiday Break
• Promotional Items

Chicago White Sox is an Equal Opportunity employer committed to 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 include a resume and cover letter.

Application Deadline November 21, 2025