Remote | Data Scientist Network — $95–$145/hour

24-Mag • New York, NY

1d • Remote

About The Position

We are sharing a specialised opportunity for experienced data scientists interested in joining a talent network for potential future consulting projects involving advanced AI research and real-world data science evaluation. There is currently no immediate project opening associated with this network. Qualified professionals may be contacted as relevant opportunities become available. Future projects may focus on evaluating how effectively AI systems perform practical data science work across statistical modelling, machine learning, experimentation, exploratory analysis, feature engineering, and technical reporting.

Requirements

• At least 1 year of professional data science experience
• Strong proficiency in Python and SQL
• Hands-on experience with statistical modelling and machine learning
• Experience designing or analysing experiments and A/B tests
• Familiarity with causal inference methods
• Ability to work effectively with messy, real-world datasets
• Strong analytical reasoning and attention to detail
• Excellent written communication skills
• Ability to explain technical conclusions clearly and precisely
• Comfort receiving feedback and calibrating professional judgment against established standards
• A degree in data science, statistics, computer science, mathematics, economics, engineering, or a related quantitative discipline may be highly relevant
• Advanced quantitative or machine learning training may strengthen an application
• Equivalent professional experience demonstrating strong data science expertise may also be considered
• Practical experience delivering rigorous real-world analysis is particularly valuable

Nice To Haves

• Experience at a leading technology, AI research, quantitative finance, or research organisation
• Advanced experience with statistical experimentation
• Strong causal inference knowledge
• Experience building production machine learning workflows
• Familiarity with exploratory analysis across large or complex datasets
• Experience authoring technical notebooks or analytical reports
• Background reviewing or mentoring other data scientists
• Prior experience with AI evaluation, structured review, benchmarking, or human-data projects

Responsibilities

• Evaluate realistic data science deliverables produced by AI systems or human contributors
• Review exploratory data analyses, statistical models, machine learning pipelines, and technical reports
• Assess analytical correctness, methodology, completeness, and practical usefulness
• Identify flawed assumptions, methodological weaknesses, or unsupported conclusions
• Apply professional data science judgment to complex analytical work
• Develop precise, task-specific grading criteria for data science assignments
• Define standards for high-quality analytical and machine learning work
• Create evaluation criteria that distinguish rigorous analysis from incomplete or superficial approaches
• Apply consistent standards across multiple work samples
• Help ensure assessments are reproducible and defensible
• Review statistical modelling and machine learning workflows
• Evaluate feature engineering, model selection, validation, and interpretation
• Assess experimentation and A/B testing analyses
• Review causal inference approaches where relevant
• Examine whether analytical conclusions are appropriately supported by available data
• Review Python, SQL, notebooks, technical reports, and related analytical outputs
• Provide detailed written justification for evaluation scores
• Communicate technical findings clearly to both specialist and broader audiences
• Incorporate structured reviewer feedback and calibrate evaluations against established standards
• Maintain accuracy and consistency across complex review assignments

Benefits

• Remote, project-based opportunities
• Potential rates are expected to range between $95–$145 per hour depending on expertise and individual project scope
• Specific workload, duration, schedule, and responsibilities will vary by project

What This Job Offers

• Career Level: Senior
• Education Level: Associate degree