Mercor
Posted 53 days agoVerified live 1d ago
Data Science Expert - AI/ML
Brief overview
Remote
MastersOr in progress
$60–$90/hrStated range
1+ yrsMinimum
PythonpandasNumPyGitData CleaningStatistical CorrelationHypothesis TestingStatistical AnalysisResult InterpretationAI Model EvaluationBenchmark/Task AuthoringJupyter Notebooks
About the company
Mercormercor.com
Mercor is an AI-based hiring platform that improves the recruitment process by matching talent with opportunities tailored to their skills.
Visa sponsorship history
2 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.$161,637median wage / yr
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20256
202611
Top sponsored roles
Software EngineerSenior Strategic Project LeadStrategic Project LeadSenior Product ManagerMachine Learning Engineer
Job description
Summary
Mercor connects elite creative and technical talent with leading AI research labs and is headquartered in San Francisco. The Data Science & Quantitative Analysis Expert will design complex analytical tasks, create reproducible analyses, evaluate model performance and statistical conclusions, and collaborate with researchers to ensure consistent evaluations.
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
Skills
- • 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
- • Experience in AI training, model evaluation, or benchmark/task authoring
- • High attention to detail and creativity in task design
Qualifications
Must Haves
- • 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
Nice to Haves
- • Experience in AI training, model evaluation, or benchmark/task authoring
- • High attention to detail and creativity in task design
Benefits
- Remote work
- Paid weekly via Stripe Connect