Junior Data Scientist | $150/hr | Remote

About the role

We are seeking experienced Data Scientists, Quantitative Analysts, Machine Learning Researchers, and Statistical Modeling Professionals to contribute to a remote AI project focused on statistics, machine learning, experimentation, and quantitative reasoning. You will evaluate AI-generated solutions to technical and quantitative problems, identify flawed methodology, create challenging prompts and datasets, develop reference solutions, and provide structured feedback that improves 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.

Preferred Background

• Professional experience at a leading technology company, financial institution, research organization, or quantitatively rigorous company.
• Experience in product data science, experimentation, quantitative research, applied machine learning, statistics, or analytics.
• Experience designing or reviewing A/B tests, predictive models, or quantitative research.
• Experience with causal inference, forecasting, recommendation systems, risk modeling, or optimization is valuable.
• Experience reviewing technical analyses, research reports, or model outputs for methodological quality.
• Experience creating technical assessments, analytical case studies, interview problems, or quantitative benchmarks is helpful.

We are a referral partner of the client.