Principal Data Scientist
Core
Shape experimentation standards and use data science to inform product decisions, connecting software vendors with buyers through G2's offerings.
Role type
Principal Data Scientist (Experimentation & Causal Inference)
Builds
Production experimentation platforms, auction designs, and agentic evaluation systems for a B2B software marketplace.
Domain
B2B Software Marketplace / Online Experimentation / Causal Inference
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Experimental design, causal inference, frequentist and Bayesian statistics, time series analysis, Python, SQL, stakeholder influence, technical standard setting
Preferred skills
Modern inference methods (always-valid, sequential testing, bandits), low-traffic experimentation, marketplace interference modeling, ML/LLM evaluation, technical leadership
Technologies
Snowflake, Spark, Airflow, dbt
Responsibilities
Own the experimentation standard across properties; influence engineering to adopt standards; define holistic experimentation requirements; design methods for various traffic regimes; drive exploration of modern experimentation methods; evangelize data science practices.
Seniority
Principal, hands-on IC with mentorship responsibilities
