Remote Junior Data Scientist: ML & Statistics

The Ai Training Company; United States; Teletrabalho; USD 70 000 - 130 000; Tempo integral

Resumo da oferta

The Ai Training Company invites experienced Data Scientists, Quantitative Analysts, and ML researchers to contribute to a remote AI project focused on statistics, experimentation, and quantitative reasoning.

You will evaluate AI-generated solutions, identify methodological flaws, build reference solutions, and provide clear feedback to improve model performance. This role suits professionals who excel at rigorous statistical evaluation and remote collaboration.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Statistics

Probability

Quantitative reasoning

Data analysis

Python

R

SQL

Ferramentas

Python

R

SQL

Descrição da oferta de emprego

The Ai Training Company invites experienced Data Scientists, Quantitative Analysts, and ML researchers to contribute to a remote AI project focused on statistics, experimentation, and quantitative reasoning.

You will evaluate AI-generated solutions, identify methodological flaws, build reference solutions, and provide clear feedback to improve model performance. This role suits professionals who excel at rigorous statistical evaluation and remote collaboration.