Staff Decision Scientist, Advanced Analytics
Core
Lead decision science and advanced analytics for Monthly Active Users (MAU), building forecasting models and setting standards for experimentation and causal inference to drive business planning and growth.
Role type
Staff Decision Scientist (Advanced Analytics)
Builds
MAU forecast and growth models; reusable experimentation and causal inference frameworks; AI-powered agent workflows for analytics.
Domain
Consumer technology / Family safety / Mobile apps
Deliverable
production ML models
Required skills
Causal inference methods, Forecasting, Statistical inference, Experiment design, Python, SQL, AI tooling, Mentorship, Strategic communication
Preferred skills
Experience with interference effects, Quasi-experimental methods, AI agent development
Technologies
Python, SQL, Claude Code
Responsibilities
Own the MAU forecast and growth model; Set standards for experiment design and analysis; Push forward causal inference toolkit; Define methodological best practices; Collaborate across product, marketing, and engineering; Scale advanced analytics through AI; Teach and mentor the team; Translate complex findings into clear recommendations for leadership.
