Чем предстоит заниматься
In your first year you’ll ship analyses and experiments that move core product metrics, match quality, time-to-hire, candidate experience, and revenue. You’ll
Define north-star and feature-level metrics for our ranking, interview analytics, and payouts systems
Design/run A/B tests and quasi-experiments; turn results into product decisions the same week
Build source-of-truth dashboards and lightweight data models so teams can self-serve answers
Instrument events with engineers; improve data quality and latency from ingestion to insight
Prototype quick models (from baselines to gradient boosting) to improve matching and scoring
Help evaluate LLM-powered agents: design rubrics, human-in-the-loop studies, and guardrail canaries
You have solid fundamentals (statistics, SQL, Python) and projects you’re proud to demo. You iterate fast, frame the question, test, and ship in day, and care as much about clarity of communication as you do about p-values. Curiosity about LLM evaluation, retrieval, and ranking is a bonus; you’ll learn alongside folks who’ve shipped at Jane Street, Citadel, Databricks, and Stripe