Data Scientist
Mercor· Engineering
San Francisco$160k - $500kFull-timePosted 11mo ago
About the role
Data Scientist at Mercor, on-site in San Francisco, full-time in Engineering. Focused on shipping analyses, experiments, and data-driven improvements to product metrics, with opportunities to evaluate LLM-powered agents and build dashboards and models to improve matching, scoring, and interview processes.
Responsibilities
- Define north-star and feature-level metrics for 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.
Qualifications
- 0–10 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.
Skills
Required:SQLPythonExperiment design and causal thinking
Benefits
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Last updated Sep 23, 2026. Interested? Apply on the company site.
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