Data Science Expert

Dorado; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Mercor is seeking experienced data scientists to define grading criteria for real-world data science deliverables and to score AI-generated and human work samples with rigorous, written justifications. The role focuses on designing task-specific evaluation criteria and ensuring that scores are reproducible and defensible.

You will apply evidence-based judgment, incorporate feedback from senior reviewers, and iteratively refine scoring strategies while communicating findings to executive

Qualifications

• 5+ years of professional data science experience in industry.
• Background in business operations, product, or growth data science at top-tier technology companies.
• Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.

Responsibilities

• Design precise, task-specific grading criteria for real-world data science deliverables.
• Score AI-generated and human work samples against those criteria with detailed written justifications for every score.
• Apply consistent, evidence-based judgment so that scores are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate quickly on your work.

Skills

Experiment design

A/B testing

Written communication

Executive communication

Critical thinking

Tools

SQL

Python

Job description

1. Role Overview

Mercor is partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real‑world data science work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task‑specific grading criteria and scoring completed work samples with rigorous, well‑reasoned written justifications.

2. Key Responsibilities

• Design precise, task‑specific grading criteria for real‑world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations)
• Score AI-generated and human work samples against those criteria, with detailed written justifications for every score
• Apply consistent, evidence‑based judgment so that scores are reproducible and defensible
• Incorporate structured feedback from senior reviewers and iterate quickly on your work

3. Ideal Qualifications

• 5+ years of professional data science experience in industry
• Background in business operations, product, or growth data science at top‑tier technology companies
• Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders
• Exceptionally strong written communication
• Detail‑oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers
• Prior experience with AI training, evaluation, or human‑data projects is a strong plus

4. Application Process

• Submit your resume or relevant technical background to get started
• Qualified applicants may be asked to complete a brief technical assessment or submit additional information