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5 days ago
Mercor is building AI that builds teams by training large-scale models to predict on-the-job performance more accurately than traditional hiring methods. Our platform powers hiring at top AI labs and has scaled significantly, making us a leader in the industry.
The Data Scientist will be responsible for defining key metrics for ranking, interview analytics, and payout systems. This includes designing and running A/B tests and quasi-experiments, turning results into product decisions weekly. The ideal candidate will also build source-of-truth dashboards and lightweight data models for self-served answers, instrument events with engineers to improve data quality and latency, and prototype quick models to improve matching and scoring.
Required Skills and Qualifications- A solid foundation in statistics, SQL, and Python, with projects to demo.
- Ability to iterate fast – frame questions, test, and ship in days – and communicate clearly with engineers, PMs, and leadership.
- Curiosity about LLM evaluation, retrieval, and ranking is a bonus; you'll learn alongside experienced professionals.
- 0–2 years of experience in data science/analytics or similar; BS/BA in a quantitative field (or equivalent work).
- Strong SQL skills; Python for analysis; comfort with experiment design and causal thinking.
- Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.
- Communicates effectively with cross-functional teams.
- Turns analysis into actionable insights.
Job Type: Full-time
Location: Remote
Work Hours: Flexible
Salary: Competitive
Benefits: Yes
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