QUANTITATIVE ANALYST - FULLY REMOTE | UPTO $90/HR
mercor
Full-timejunior€60-90/hour
Job description
About the job
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 .
Position: Data Science & Quantitative Analysis Expert
Type: Contract
Compensation: $60–$90/hour
Location: Remote
Commitment: 35 hours/week
Role Responsibilities
• Design complex analysis tasks simulating real research work, including data cleaning, statistical analysis, and interpretation.
• Author clear, reproducible reference analyses in Jupyter Notebooks or Google Colab .
• Build tasks for fair comparison between analytical approaches, backed by spot checks and recommendations.
• Evaluate how models handle tasks and verify the accuracy of their statistics and conclusions.
• Collaborate with researchers to ensure consistent and accurate evaluations.
Qualifications
Must-Have
• MSc or PhD in statistics, data science, or a quantitative STEM field, or equivalent experience.
• 1+ years in a research, research-engineering, or heavy data-analysis role.
• Proficiency in Python (pandas, NumPy ) and Git .
• Strong data-analysis skills: data cleaning, statistical correlation, hypothesis testing, and result interpretation.
• 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.
Compensation & Legal
• Hourly contractor , Paid weekly via Stripe Connect
Application Process (Takes 20–30 mins to complete)
• Upload resume
• AI interview based on your resume
• Submit form
Resources & Support
• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Skills
PythonpandasNumPyGitJupyter NotebooksGoogle Colab