About the Role
As a Data Science Intern at Mercor, you’ll join a fast-moving, metrics-driven engineering team whose work shapes decisions across the company. You’ll analyze data that directly affects ranking, hiring efficiency, candidate experience and revenue, work with production datasets from your first week, and ship insights that product and engineering act on.
You’ll start on the analyses and tooling your team has wanted but hasn’t had the hands for, and as needs come up you’ll take deep ownership of them, with a named mentor alongside you. You’ll move quickly while keeping a high bar for analytical rigor, clarity and statistical correctness.
Where You’ll Work
Interns start on a rolling basis, so summer, spring and fall terms all work. About three weeks before your start we’ll match you to one of two teams:
Product Data Science. The data science function for the marketplace and talent platform: metrics for matching, ranking and hiring efficiency, event instrumentation and data integrity, experiments on the candidate and customer experience, and scoring models that change who gets surfaced for which role.
Applied AI Data Science. The data science function inside the org that delivers human data and evaluations to frontier AI labs: operational analytics for live customer projects, automated quality control that gates what ships, and evaluation science that shows a lab where its model breaks and why.
What You’ll Work On
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 within days
Building dashboards and lightweight data models so teams can self-serve insights
Instrumenting events with engineers and improving data quality, observability and latency
Prototyping models, from baselines to gradient boosting, to improve matching and scoring
Evaluating LLM-powered systems through rubric design, human-in-the-loop experiments and guardrail testing
What We’re Looking For
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
Why Mercor
Impact: your work powers how frontier AI labs train and deploy their models
Learning: early exposure to frontier AI research and engineering
Growth: a high-velocity team where interns ship to production
Compensation and 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
Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.
