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MercorMercorSan Francisco, CA

Data Scientist

Analyzes product metrics, designs and runs A/B tests, builds dashboards, prototypes models, and evaluates LLM agents to improve matching, hiring, and revenue. Requires strong SQL/Python, stats, and 0-2 years experience.

130k – 500k
On-siteEntry levelData Science

About the role

What you'll do

  • 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.

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

Skills

SQLPythonA/B TestingStatisticsExperiment DesignDashboardsdbtLookerGradient BoostingLlm Evaluation

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