Junior Data Scientist | $155/hr | Remote

About the role

Remote AI project focused on statistics, machine learning, experimentation, and quantitative reasoning. You will evaluate AI-generated solutions, identify flawed methodology, create prompts and datasets, develop reference solutions, and provide structured feedback to improve model performance.

Responsibilities

• Evaluate AI-generated responses across data science, statistics, machine learning, experimentation, and quantitative analysis.
• Identify incorrect assumptions, statistical errors, flawed methodology, weak experimental design, and unsupported conclusions.
• Create challenging expert-level prompts based on realistic analytical and quantitative problems.
• Build or review datasets used to evaluate model performance.
• Develop reference solutions that demonstrate correct methodology and reasoning.
• Assess whether analytical approaches are statistically sound, reproducible, and appropriate for the problem.
• Review model reasoning related to experimentation, causal inference, forecasting, predictive modeling, and data interpretation.
• Evaluate code and analytical workflows when relevant.
• Provide structured technical feedback explaining why an approach is correct or incorrect.
• Help refine evaluation criteria and improve the difficulty and quality of quantitative tasks.

Requirements

• At least one year of professional experience in data science, quantitative analysis, statistics, machine learning, finance, research, or a closely related field.
• At least part of that experience must have occurred within the past three years.
• Strong foundation in statistics, probability, and quantitative reasoning.
• Experience analyzing real-world datasets and interpreting results.
• Ability to identify flawed methodology and statistical errors.
• Strong understanding of experimentation or model evaluation principles.
• Working knowledge of Python, R, SQL, or comparable quantitative tools.
• Strong analytical and problem‑solving skills.
• Ability to communicate technical and statistical concepts clearly in writing.
• Comfortable working independently in a remote environment.

Qualifications

Relevant backgrounds include Data Scientists, Senior Data Analysts, Junior Data Scientists, Associate Data Scientists, Quantitative Analysts, Quantitative Researchers, Applied Scientists, Machine Learning Scientists, Machine Learning Engineers, Research Scientists, Applied Machine Learning Researchers, Statisticians, Applied Statisticians, Biostatisticians, Statistical Analysts, Statistical Modeling Specialists, Experimentation Scientists, Product Data Scientists, Decision Scientists, Causal Inference Specialists, A/B Testing Experts, Quantitative Researchers, Quantitative Strategists, Financial Data Scientists, Risk Modelers, Quantitative Finance Professionals, Econometricians, Operations Research Scientists, Analytics Scientists, Research Analysts, and Computational Researchers with strong statistical expertise.

This opportunity is offered through a referral partner of the client.