# Data Scientist

**Company:** [Mercor](https://hotfix.jobs/companies/mercor)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $130k – $500k/yr
**Experience:** 0+ years
**Skills:** SQL, Python, A/B Testing, Statistics, Experiment Design, Dashboards, dbt, Looker, Gradient Boosting, Llm Evaluation
**Posted:** 2025-08-30

> 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.

## Job Description

## 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

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