Staff Forecasting Data Scientist
Core
Lead technical development and automation of enrollment forecasting models to transform a manual process into a robust, production-oriented forecasting engine for Omada's existing book of business.
Role type
Staff Forecasting Data Scientist
Builds
Production-grade enrollment forecasting engine and scalable analytical solutions
Domain
Digital health / Healthcare / SaaS
Deliverable
production ML models
Required skills
Time-series modeling, Predictive modeling, Python (pandas, numpy, scikit-learn, statsmodels, Prophet), SQL, Statistical methods, Machine learning, Data pipeline design, Model monitoring, Cross-functional collaboration
Preferred skills
Healthcare industry experience, Public company environment experience, Salesforce data models, RevOps processes
Technologies
Python, SQL, pandas, numpy, scikit-learn, statsmodels, Prophet
Responsibilities
Design, build, and automate the core enrollment forecasting engine; Translate commercial planning questions into scalable forecasting solutions; Establish best practices for model development, backtesting, and performance monitoring; Continuously experiment with new data sources and modeling techniques; Act as primary technical leader providing guidance and mentoring; Free Commercial Operations leadership by owning technical implementation of base forecasting
Seniority
Staff, hands-on IC with technical leadership
