Senior Data Scientist – Full Stack
SentiLink
Data Scientist – Football Operations, Media
EXL
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AirflowPandasPythonScikit-LearnSQLTableau
About the role
- Develop predictive models for game-by-game viewership and integrate them into scheduling workflows
- Simulate trade-offs (e.g., competitive balance, travel, bye weeks) to support flex scheduling decisions
- Create weekly dashboards and scenario analyses for tentpole events and regular-season slates
- Quantify impacts of rule changes (e.g., kickoff format) on gameplay, safety, and scoring
- Evaluate officiating technologies using tracking and vision data; define KPIs for adoption
- Analyze player/ball tracking data to assess game quality, parity, and fan engagement
- Collaborate with the Big Data Bowl community to source and test innovative analytics methods
- Productionize pipelines for ratings-aware scheduling and scenario refreshes
- Ensure reproducibility, versioning, and auditability of models and workflows
Requirements
- 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., Nielsen), time series forecasting, and causal analysis
- Strong communication skills to translate complex models for non-technical stakeholders
- Experience with player/ball tracking datasets and spatial modeling
- Exposure to football strategy metrics and expected points modeling
- Knowledge of causal inference techniques (e.g., synthetic control, DiD, double 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 contracts, tentpole scheduling)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data scienceoperations researchquantitative analyticsPythonSQLoptimization toolsprobabilistic forecastscausal analysisspatial modelingcausal inference techniques
Soft skills
strong communication skills
