EXL

Data Scientist – Sports Analytics

EXL

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • Collect, clean, and analyze large, complex datasets from diverse sources; streamline and integrate data collection processes and optimize query performance
  • Design, develop, and implement advanced data science econometrics models and conduct exploration analyses to uncover trends in local market performance, fan engagement, sponsorship, ticketing, and other revenue streams.
  • Refine and enhance existing opportunity models using test-and-learn approach, including A/B testing and clustering algorithms.
  • Develop and deploy predictive models to forecast key economic and sports business metrics (e.g., incremental revenue, sponsorship ROI, fan engagement growth).
  • Monitor developed AI/ML models for performance drift and be able to re-train degraded models when applicable.
  • Support Club Business Development and Clubs by translating complex models into actionable analytical insights to help clubs efficiently reach their revenue opportunity.
  • Define and track KPIs and success metrics, partnering with Club Business Development to measure program impact.
  • Work closely with Data Engineering team for data integration and model production deployment.
  • Present findings and recommendations in a compelling and visually engaging manner.
  • Stay current with industry trends in sports analytics, econometrics and data science.

Requirements

  • Bachelor’s or Master’s degree in Econometrics Data Science, Statistics, Computer Science, or a related field.
  • 3+ years of experience in data science, analytics, or business intelligence, preferably in sports.
  • Proficiency in Python, R, SQL.
  • Experience with A/B testing, clustering algorithms, predictive modeling.
  • Strong attention to detail with a focus on maintaining rigor across data analysis, modeling, and reporting.
  • Strong communication and storytelling skills with the ability to influence stakeholders.
  • Passion for sports and a deep understanding of sports leagues’ business model.
Benefits
  • Health insurance
  • Flexible working arrangements
  • Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysiseconometricspredictive modelingA/B testingclustering algorithmsPythonRSQLdata integrationmodel deployment
Soft skills
attention to detailcommunication skillsstorytelling skillsinfluencing stakeholders
Certifications
Bachelor’s degreeMaster’s degree
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