Data Scientist

Overview

This role focuses on evaluating AI-generated data analyses on real datasets. You’ll check whether the statistics, reasoning, and conclusions are actually sound, then write judgments that help improve future model performance.

What You'll Do

• Review AI-produced analyses on real datasets, including the choice of method, underlying assumptions, and whether the conclusion is supported by the numbers.
• Stress-test statistical reasoning for issues such as data leakage, p-hacking, confounded comparisons, and overconfident conclusions.
• Write clearer, more rigorous analyses when the model falls short, including sound methodology, honest uncertainty, and concise takeaways.

Who This Role Fits

• Data Scientists, Data Analysts, and Analytics Engineers.

Requirements

• Professional or academic experience doing real data analysis, including industry, research, or substantial independent work.
• Fluency with the standard data toolkit; many tasks use Python, SQL, and notebooks.
• Strong written English, since clear explanations are part of the training signal.
• No degree is required.