Manager, Modeling Insights
Core
Data Scientist using AI-assisted engineering to build statistical and machine learning models for sports and entertainment analytics.
Role type
Mid-level Data Scientist (LLM-assisted engineering)
Builds
Production ML models, web applications, and interactive visualizations for stakeholders
Domain
Sports, entertainment, and media analytics
Deliverable
production ML models | product features
Required skills
Claude Code, Python (Pandas, NumPy, scikit-learn, SciPy, FastAPI), React, Bayesian statistics (PyMC), SQL, CI/CD fundamentals, Azure, Databricks
Preferred skills
Experience in sports, entertainment, or media
Technologies
Python, React, FastAPI, PyMC, Azure, Databricks, Git, UNIX/Bash
Responsibilities
Partner with stakeholders to translate questions into analytical approaches; Build and maintain statistical, Bayesian, and ML models for lead scoring, retention, and forecasting; Use LLMs to process unstructured data; Build and own model training and inference pipelines; Develop web apps and visualizations for stakeholder consumption; Perform feature engineering, model evaluation, and impact measurement.
Seniority
Mid-level, hands-on IC