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10 days ago
Requirements and responsibilities
🟢 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.🟢 Key ResponsibilitiesDesign 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 scoreApply consistent, evidence-based judgment so that scores are reproducible and defensibleIncorporate structured feedback from senior reviewers and iterate quickly on your work🟢 Ideal Qualifications5+ years of professional data science experience in industryBackground in business operations, product, or growth data science at top-tier technology companiesDeep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholdersExceptionally strong written communication