Data Science Expert - Fully Remote

• Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, and A/B test write-ups.
• Evaluate AI-generated or human-created work against established criteria to ensure quality and consistency.
• Provide detailed written justifications for evaluations and scores to maintain transparency and accountability.
• Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.
• Work independently and asynchronously to meet deadlines and improve AI model performance.

Must-Have

• 1+ years of professional data science experience.
• Experience at a leading technology, research, or quantitative firm.
• Strong command of Python, SQL, statistical modeling, machine learning, and experimentation.
• Exceptional written communication skills.
• Detail-oriented and consistent approach to evaluating complex work.
• Comfort receiving feedback and calibrating judgment against established standards.

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.