Data Scientist
Core
Define metrics, run experiments, build dashboards, and prototype models to improve product matching, interview analytics, and revenue.
Role type
Senior IC data scientist (product analytics & evaluation)
Builds
production ML models | product features | dashboards & analysis
Domain
AI data platform, matching, and ranking systems
Deliverable
production ML models
Required skills
statistics, SQL, Python, experiment design, causal thinking, A/B testing, gradient boosting
Preferred skills
LLM evaluation, retrieval, ranking, marketplace metrics, dbt, dashboarding tools
Technologies
Python, SQL, dbt, Hex, Mode, Looker
Responsibilities
Define north-star and feature-level metrics for ranking and interview systems; Design and run A/B tests and quasi-experiments; Build source-of-truth dashboards and lightweight data models; Instrument events and improve data quality; Prototype quick models to improve matching and scoring; Evaluate LLM-powered agents using rubrics and human-in-the-loop studies.