Senior Staff Applied Scientist, Science Platform
Core
Build the scientific direction and production software for agentic analytics, causal inference, and forecasting to enable data scientists and business partners to answer sophisticated questions about Reddit's ecosystem.
Role type
Senior Staff Applied Scientist (Science Platform)
Builds
Production analytics agent, reusable causal inference tools, and shared forecasting capabilities for business and product metrics.
Domain
Internet / Social Media / Data Science / Causal Inference
Deliverable
production ML models
Required skills
Statistics, Machine Learning, Causal Inference, Software Engineering, Python, Time Series Modeling, LLM Applications, Analytical Agents, Statistical Inference, Econometrics
Preferred skills
Publications, Open-source contributions, Building scientific libraries, Building agents at scale
Technologies
Python, APIs, Data Pipelines, Observability
Responsibilities
Define scientific roadmap for agentic analytics, causal inference, and forecasting; Research, evaluate, and implement emerging methods; Design and build analytics agent architecture; Build reusable causal inference tools; Develop shared forecasting capabilities; Create evaluation frameworks for agent-generated analyses; Own implementation of scientific methods in production software; Mentor technical contributors.
Seniority
Senior Staff, hands-on IC with mentorship
