Data Scientist
Role Overview
As a Data Scientist at Mercor, you'll work in a collaborative team environment focused on enhancing core product metrics through data-driven analyses and experiments. This junior-level role involves defining key performance indicators, designing A/B tests, and building dashboards to facilitate self-service analytics, directly impacting candidate experience and company revenue.
Perks & Benefits
Mercor offers a generous equity grant, along with relocation and housing bonuses for those moving to the Bay Area. You can expect a supportive work culture that values clarity in communication and encourages rapid iteration. The remote setup allows for flexibility, and the team is composed of highly experienced professionals from leading tech companies, fostering significant career growth opportunities.
Full Job Description
About Mercor
Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day.
Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.
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
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