Lead Product Data Scientist, Forecasting
Core
Lead the development of sophisticated revenue forecasting models and establish rigorous evaluation standards to inform product strategy and financial planning.
Role type
Senior IC product data scientist (forecasting)
Builds
Scalable forecasting systems, self-service analytical capabilities, and root cause analysis frameworks
Domain
SaaS / E-commerce analytics / Time series forecasting
Deliverable
production ML models
Required skills
Time series forecasting, Hierarchical forecasting, Probabilistic/Bayesian methods, Machine learning, SQL, Python, R, dbt, Statistical modeling, Model evaluation
Preferred skills
Time series foundation models, LLMs, Agentic tools, Mixed effects models, Clustering
Technologies
Python, R, SQL, dbt, Time series foundation models, LLMs
Responsibilities
Own revenue forecasting end-to-end from problem framing to deployment and monitoring. Build sophisticated forecasting models across multiple time horizons. Establish forecasting standards and governance for accuracy and bias. Lead technical direction and mentor other data scientists. Partner with cross-functional teams to support scenario planning and strategic investments. Uncover drivers of performance through advanced statistical research. Lead root cause investigations when actual performance diverges from forecasts. Develop self-service forecasting capabilities for product managers.
Seniority
Senior, hands-on IC with technical leadership
