Data Scientist - AI Evaluation

• Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses, statistical modeling work, machine learning pipelines, and technical reports.
• Evaluate AI-generated or human-created work against established criteria to ensure quality and accuracy.
• Provide detailed written justifications for evaluations and scores to maintain transparency.
• Apply consistent, evidence-based judgment for reproducible and defensible assessments.
• Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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, and machine learning.
• Exceptional written communication skills for conveying technical findings.
• Detail-oriented and consistent approach to evaluating complex work.