Data Science Expert

About the role

This role is for one of our clients.

Compensation

$120-$170 per hour

Join a leading AI research organization

working on the next generation of intelligent systems. We are seeking experienced Data Science Experts to help evaluate how effectively AI performs real-world data science tasks.

Key Responsibilities

• Design detailed, task-specific evaluation criteria for real-world data science deliverables, including:
• Data analyses
• Predictive and statistical models
• Dashboards and visualizations
• Experiment results
• Executive recommendations and business insights
• Evaluate AI-generated and human-produced work using objective scoring frameworks.
• Provide detailed written justifications for each evaluation, ensuring consistency and technical accuracy.
• Apply sound analytical judgment to produce reproducible and defensible assessments.
• Incorporate structured reviewer feedback and continuously refine evaluation methodologies.
• Collaborate with cross-functional teams to improve AI training quality and evaluation standards.

Required Qualifications

• 5+ years of professional experience in Data Science within an industry environment.
• Strong background in business operations, product analytics, growth analytics, or similar data science functions at technology-driven organizations.
• Deep expertise in:
• Experimental design and A/B testing
• Statistical analysis
• SQL and Python
• Metric development and performance measurement
• Translating analytical findings into business recommendations
• Excellent written communication skills with the ability to clearly explain technical reasoning.
• Exceptional attention to detail and the ability to evaluate work consistently against structured rubrics.
• Comfortable receiving feedback and calibrating evaluation standards with peer reviewers.

Preferred Qualifications

• Experience contributing to AI evaluation, model training, human feedback, or data annotation initiatives.
• Familiarity with large language models (LLMs), AI-assisted analytics, or machine learning workflows.
• Experience reviewing technical work or mentoring analytical teams is a plus.