Data Science Intern

The role

You will join a metrics-driven engineering team to analyze data affecting ranking, hiring efficiency, candidate experience and revenue. You will work with production datasets to ship insights that product and engineering act on.

What you will do

• Defining north-star metrics and feature-level KPIs for ranking, interview analytics and payouts
• Designing A/B tests and quasi-experiments and turning results into product decisions
• Building dashboards and lightweight data models
• Instrumenting events with engineers and improving data quality, observability and latency
• Prototyping models to improve matching and scoring
• Evaluating LLM-powered systems through rubric design, human-in-the-loop experiments and guardrail testing

Required qualifications

• Pursuing a degree in a quantitative field, graduating 2027 (potentially 2028)
• Strong fundamentals in statistics, SQL and Python
• Experience with experiment design, causal reasoning and data analysis
• Clear communication with engineers, product managers and leadership
• Curiosity about LLM evaluation, retrieval, ranking or marketplace dynamics
• Excited to work in person in San Francisco

Nice to have

• dbt
• dashboarding tools
• recommendation or search metrics
• LLM and agent evaluation

Benefits

• $10K housing bonus if you live within 0.5 miles of our office during your internship
• $1.5K monthly stipend for meals/rideshare
• Health, dental and vision insurance
• 401(k) eligibility

About the company

Mercor builds infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. The company is profitable and recently raised a $750 million Series D at a $20 billion valuation.