Data Science Expert - AI/ML

Mercor, Inc.
New York, NY, United States
3 days ago
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Role details

Contract type
Contract
Employment type
Part-time / full-time
Experience required
1 year minimum
Compensation
$124,800.0 - $187,200.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Data Cleansing Statistical Hypothesis Testing Python (Programming Language) NumPy Jupyter Notebook Enterprise Software Applications Model Validation Git Pandas

Job description

  • Design complex analysis tasks to simulate real research work, including data cleaning, statistical analysis, and clear reporting.
  • Author reproducible reference analyses using Jupyter Notebooks or Google Colab.
  • Compare analytical methods through tasks that involve spot checks and provide clear recommendations.
  • Evaluate model performance on tasks, ensuring statistics and conclusions are robust.
  • Collaborate with researchers to maintain consistent and accurate evaluations., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Requirements

  • MSc or PhD in statistics, data science, or a quantitative STEM field.
  • 1+ years of experience in research, research-engineering, or data-analysis roles.
  • Proficiency in Python (pandas, NumPy) and Git.
  • Strong data-analysis skills: data cleaning, statistical correlation, hypothesis testing.
  • 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., Organizational Unit: IIE Organization -> IIE US -> Enterprise Systems Schedule: Full Time Education: Bachelor’s Degree Location: New York NY - New York, NY 10007 US (Pr…
  • 15 days ago

About the company

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.

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