Data Scientist

Build the AI that builds teams

Mercor trains large-scale models that predict on-the-job performance more accurately than any human interview. Our platform already powers hiring at top AI labs, and we scaled from $1M to $100M ARR in 11 months—making us the fastest-growing AI startup on record.

What you’ll do

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’ll thrive here if

You have solid fundamentals (statistics, SQL, Python) and projects you’re proud to demo. You iterate fast—frame the question, test, and ship in days—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.

Perks

• Generous equity compensation
• $20K relocation bonus
• $10K housing bonus
• $1K/month food stipend
• Equinox membership
• Health insurance

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.