Remote Quantitative Data Scientist (Contract)

mercor; United States; Remote; USD 83,000 - 124,000; Full time

Benefits offered by this job

Remote work

Weekly payments via Stripe Connect

Job summary

Mercor, a San Francisco–based AI talent partner, is hiring a Data Science & Quantitative Analysis Expert for a remote contract (35 h/wk). Compensation is $60-$90/hour with weekly Stripe payments. You design complex analyses, perform data cleaning and statistics, and write reproducible reference analyses in Jupyter or Colab.

You’ll compare methods and collaborate with researchers to validate results. Experience with Python (pandas, NumPy) and Git is required; MSc/PhD in statistics or related

Qualifications

• MSc/PhD or equivalent in statistics, data science, or quantitative STEM.
• 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.

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

Python (pandas, NumPy)

Git

Statistical analysis

Data cleaning

Hypothesis testing

Communication of results

Research experience

Education

MSc or PhD in statistics/data science/quantitative STEM

Equivalent experience

Tools

Jupyter Notebooks

Google Colab

Job description

Mercor, a San Francisco–based AI talent partner, is hiring a Data Science & Quantitative Analysis Expert for a remote contract (35 h/wk). Compensation is $60-$90/hour with weekly Stripe payments. You design complex analyses, perform data cleaning and statistics, and write reproducible reference analyses in Jupyter or Colab.

You’ll compare methods and collaborate with researchers to validate results. Experience with Python (pandas, NumPy) and Git is required; MSc/PhD in statistics or related