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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