Data Scientist
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
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 cant be captured in code alone. Today more than 30000 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. Youll 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 youll do
In your first year youll ship analyses and experiments that move core product metrics match quality time-to-hire candidate experience and revenue. Youll:
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.
Youll thrive here if
You have solid fundamentals (statistics SQL Python) and projects youre 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; youll learn alongside folks whove shipped at Jane Street Citadel Databricks and Stripe.
Qualifications
02 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
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
