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# Data Science Expert - AI/ML

- **Company:** Mercor, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Salary:** $124,800.0 - $187,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Catalyst (Software), Data Cleansing, Statistical Hypothesis Testing, Python (Programming Language), NumPy, Jupyter Notebook, Model Validation, Git, Pandas
- **Published:** October 16, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-science-expert-ai-ml-san-francisco-ca--18d2ebee-29b9-4b36-8338-5686522cebce

## About the Role

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.

## Description

About the jobMercor 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 ExpertType:ContractCompensation:$60-$90/hourLocation:RemoteCommitment:35 hours/weekRole ResponsibilitiesDesign 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.QualificationsMust-HaveMSc 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.PreferredExperience in AI training, model evaluation, or benchmark/task authoring.High attention to detail and creativity in task design.Compensation & LegalHourly contractor, Paid weekly via Stripe ConnectApplication Process (Takes 20-30 mins to complete)Upload resumeAI interview based on your resumeSubmit formResources & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.