Junior Data Scientist | $165/hr | Remote

The Ai Training Company is a referral partner for an unnamed client seeking a Junior Data Scientist for a remote AI project. The role evaluates AI-generated quantitative and technical solutions, creates prompts, datasets, and reference solutions, and provides feedback to improve model performance.

What you'll do:

• 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

What they're looking for:

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

Benefits:

• Remote work