Data Scientist
Core
Define metrics, run experiments, and build dashboards to optimize product performance, matching quality, and revenue for an AI data platform.
Role type
Junior data scientist (product analytics & experimentation)
Builds
Production dashboards, lightweight data models, and evaluation frameworks for ranking and LLM agents
Domain
AI data infrastructure, marketplace analytics, and LLM evaluation
Deliverable
dashboards & analysis
Required skills
SQL, Python, experiment design, causal thinking, statistics
Preferred skills
dbt, LLM/agent evaluation, retrieval and ranking metrics
Technologies
SQL, Python, 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 models to improve matching and scoring; Evaluate LLM-powered agents using rubrics and human-in-the-loop studies
Seniority
Junior, 0–2 years experience