What you'll doIn 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'll thrive here ifYou 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.
Qualifications- 0-2 years in data science/analytics or similar; BS/BA in a quantitative field (or equivalent work).
- Strong SQL; Python for analysis; comfort with experiment design and causal thinking.
- Communicates crisply with engineers, PMs, and leadership; turns analysis into action.
- Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.
Benefits- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
