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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 field3-5 years building and deploying predictive models in industry or advanced graduate trainingTechnical Skills
High proficiency in R or Python and SQLDeep expertise in Bayesian statistics with hands-on experience building custom Bayesian modelsStrong 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 fittingExperience with version control (Git) and building production model pipelinesProfessional Attributes
Strong analytical and problem-solving skills with attention to statistical rigorExcellent communication skills for both technical and non-technical audiencesAbility to work independently on long-term projects and manage multiple prioritiesPassion for mentoring and elevating team capabilitiesPreferred Qualifications
Graduate degree (M.S. or Ph.D.) in Statistics or related quantitative field5+ years of experience building models in industry or relevant fieldKnowledge of current baseball research and sabermetricsAbout 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 scaleCommunication : We translate complex findings into actionable insights for diverse audiencesImpact : We measure success by how our models influence real decisions and outcomesWorking Conditions
Flexible hours including evenings, weekends, and holidays as dictated by the baseball calendarAbility to handle confidential information with discretionOccasional travelCompensation :
$90,000 - $100,000Benefits include :
HealthDentalLifeAD&DLTDDefined Benefit Plan (Major League Baseball Pension for Non-Uniformed Personnel)Voluntary Supplemental LifeVoluntary Supplemental AD&DVoluntary VisionVoluntary Pet InsuranceVoluntary 401(k)Voluntary Flex Benefits (FSA, Transportation, Dependent Care)Complimentary White Sox TicketsComplimentary LunchHoliday BreakPromotional ItemsChicago 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.
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