Data Science Expert - AI/ML

About the role

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.

Responsibilities

• Design complex analysis tasks to simulate real research work, including data cleaning, statistical analysis, and clear reporting.
• Author reproducible reference analyses using Jupyter Notebooks or Google Colab.
• Compare analytical methods through tasks that involve spot checks and provide clear recommendations.
• Evaluate model performance on tasks, ensuring statistics and conclusions are robust.
• Collaborate with researchers to maintain consistent and accurate evaluations.

Qualifications

• MSc or PhD in statistics, data science, or a quantitative STEM field.
• 1+ years of experience in research, research-engineering, or data-analysis roles.
• Proficiency in Python (pandas, NumPy) and Git.
• Strong data-analysis skills: data cleaning, statistical correlation, hypothesis testing.
• Ability to communicate analytical findings effectively in writing.

Preferred

• Experience in AI training, model evaluation, or benchmark/task authoring.
• High attention to detail and creativity in task design.