Staff Data Scientist, Forecasting
Core
Technical lead for forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale.
Role type
Staff Data Scientist (Time-Series Forecasting)
Builds
Production forecasting systems, anomaly detection, automated root-cause analysis, and campaign attribution tools.
Domain
Internet / Web-scale data / Time-series forecasting
Deliverable
production ML models
Required skills
Time-series modeling, Applied statistics/Econometrics, Python, SQL (Hive/Presto/Spark), Data pipeline orchestration (Airflow), Technical leadership, Business acumen
Preferred skills
Advanced degree (MS or PhD), Experience with web-scale data
Technologies
Python, SQL, Hive, Presto, Spark, Airflow
Responsibilities
Own strategy and implementation of forecasting models for key metrics; Lead full modeling lifecycle from problem framing to deployment and monitoring; Define model architectures and standards; Translate forecasts into decisions for senior leadership; Drive broader time-series impact including anomaly detection and root-cause analysis; Embed forecasting into business operational rhythms; Lead and mentor at least two data scientists.
Seniority
Staff, technical lead & mentorship
