Data Science Intern — In‑Person AI Analytics & Impact

Apply; San Francisco, Northern (CA, KY); Hybrid; USD 50,000 - 76,000; Part time

Job summary

Mercor is seeking a Data Science Intern to join a fast-moving, metrics-driven engineering team. You will analyze data that impacts ranking, hiring efficiency, candidate experience, and revenue, and ship insights used by product and engineering.

You will work closely with engineers, PMs, and leadership to design experiments, evaluate LLM-powered systems, and build foundations of data integrity across the platform. In-person collaboration is expected.

Qualifications

• Pursuing a degree in a quantitative field (graduating 2026-2028).
• Strong fundamentals in statistics, SQL, and Python.
• Experience with experiment design, causal reasoning, and data analysis.
• Ability to communicate clearly with engineers, product managers, and leadership.
• Curiosity about LLM evaluation, retrieval, ranking, or marketplace dynamics (a plus).
• Excited to work in person and thrive in a fast-paced environment.
• Nice-to-haves: experience with dbt, dashboarding tools, recommendation/search metrics, or LLM/agent evaluation.

Responsibilities

• Defining north-star metrics and feature-level KPIs for ranking, interview analytics, and payouts systems.
• Designing and running A/B tests and quasi-experiments; translating results into product decisions within days.
• Building dashboards and lightweight data models that empower teams to 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 systems.
• Evaluating LLM-powered agents through rubric design, human-in-the-loop experiments, and guardrail canary testing.

Skills

Statistics

SQL

Python

Experiment design

Causal reasoning

Data analysis

Communication

LLM evaluation

In-person collaboration

Education

Quantitative degree (graduating 2026–2028)

Tools

dbt

Dashboarding tools

Recommendation metrics

LLM/agent evaluation

Job description

Mercor is seeking a Data Science Intern to join a fast-moving, metrics-driven engineering team. You will analyze data that impacts ranking, hiring efficiency, candidate experience, and revenue, and ship insights used by product and engineering.

You will work closely with engineers, PMs, and leadership to design experiments, evaluate LLM-powered systems, and build foundations of data integrity across the platform. In-person collaboration is expected.