Data Scientist

About Mercor

Mercor is training models that predict how well someone will perform on a job better than a human can. We use our platform to source, vet, and onboard expert contractors who help train AI models in a wide variety of domains. Our technology is so effective it’s used by all of the top 5 AI labs.We scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company in the world. Our growth is accelerating. We averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. The team is small and we remain profitable because we can’t hire great people as quickly as revenue is growing."

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 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

• Generous equity grant vested over 4 years

• A $20K relocation bonus (if moving to the Bay Area)

• A $10K housing bonus (if you live within 0.5 miles of our office)

• A $1K monthly stipend for meals

• Free Equinox membership

• Health insurance