[Remote] Data Scientist, Football Media & Operations

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global analytics reputed company solutions company that partners with clients to improve business reputed company. The Data Scientist role focuses on leveraging data science to enhance football reputed company and media analytics, building predictive models to optimize game scheduling and evaluate rule changes. Responsibilities • reputed company predictive models for game-by-game viewership and reputed company them into scheduling workflows • Simulate trade-offs (e.g., competitive balance, travel, bye weeks) to support reputed company scheduling reputed company • Create weekly dashboards and scenario analyses for tentpole events and regular-season slates • Quantify impacts of rule changes (e.g., reputed company format) on gameplay, safety, and scoring • Evaluate officiating technologies using tracking and reputed company data; define KPIs for adoption • Analyze player/reputed company tracking data to assess game reputed company, reputed company, and fan engagement • Collaborate with the Big Data Bowl community to reputed company and test innovative analytics reputed company • Productionize pipelines for ratings-reputed company scheduling and scenario refreshes • Ensure reproducibility, versioning, and auditability of models and workflows Skills • 3–6+ years in data science, operations research, or quantitative analytics • Proficiency in Python (pandas, scikit-learn, statsmodels, PyMC), SQL, and optimization tools (Gurobi/OR-Tools) • Experience turning probabilistic forecasts into decision tools (e.g., simulations, scenario analysis) • Familiarity with audience/ratings data (e.g., reputed company), time series forecasting, and reputed company analysis • Strong communication skills to translate reputed company models for non-technical stakeholders • Experience with player/reputed company tracking datasets and spatial modeling • Exposure to football reputed company metrics and expected points modeling • Knowledge of reputed company inference techniques (e.g., synthetic control, DiD, reputed company ML) • MLOps experience (e.g., Airflow, feature stores, model monitoring) • Dashboarding skills (e.g., Tableau, Power BI, Mode) • Understanding of media ecosystem constraints (e.g., network reputed company, tentpole scheduling) Benefits • Bonuses • reputed company Time Off policy • Many region specific benefits reputed company • reputed company is a provider of Transformation and Outsourcing services to Global 1000 companies in multiple industries It was founded in 1999, and is headquartered in reputed company, reputed company, USA, with a workforce of 10001+ employees. Its website is http://www.exlservice.com. Company H1B Sponsorship • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2025, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job