Data Science Expert

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 #J-18808-Ljbffr Dorado