
AI and Data Innovation Lead
5 days ago
Unlock the Power of Data Science
Mercor trains large-scale models that predict on-the-job performance more accurately than any human interview. Our platform already powers hiring at top AI labs, and we scaled from $1M to $100M ARR in 11 months—making us the fastest-growing AI startup on record.
Key Responsibilities:
- Define Key Performance Indicators (KPIs): Develop metrics for our ranking, interview analytics, and payouts systems.
- Design and Run Experiments: Design and execute experiments, turning results into product decisions within the same week.
- Build Source-of-Truth Dashboards: Create data models so teams can self-serve answers.
- Instrument Events: Work with engineers to improve data quality and latency.
- Prototype Quick Models: Improve matching and scoring using baseline and gradient boosting models.
- Evaluate Large Language Model (LLM) Agents: Design rubrics, human-in-the-loop studies, and guardrail canaries.
Qualifications and Skills:
- 0–2 years in data science/analytics or similar; Bachelor's degree in a quantitative field.
- Strong SQL; Python for analysis; comfort with experiment design and causal thinking.
- Communicates effectively with engineers, product managers, and leadership; turns analysis into actionable insights.
- Nice-to-haves: dbt, dashboarding (Hex/Mode/Looker), marketplace or search/recommendation metrics, LLM/agent evaluation.
Benefits and Perks:
- Generous equity compensation
- $20K relocation bonus
- $10K housing bonus
- $1K/month food stipend
- Equinox membership
- Health insurance
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