Data Scientist

About this role

Data Scientists and quantitative professionals to evaluate and improve AI performance on statistics, machine learning, experimentation, and quantitative reasoning tasks. The role involves reviewing AI-generated analyses, creating expert-level prompts and datasets, identifying methodological or statistical errors, and developing high-quality reference solutions. This opportunity is ideal for professionals from strong technology, finance, or research environments who can combine quantitative rigor with clear technical communication.

Data Science AI Expert

Responsibilities

• Evaluate AI-generated outputs across data science, statistics, machine learning, experimentation, and quantitative reasoning.
• Create expert-level prompts, datasets, and reference solutions that reflect professional data-science standards.
• Identify flawed methodology, statistical errors, weak assumptions, and incorrect quantitative reasoning.
• Provide structured technical feedback that helps improve AI model capability and reliability.

Qualifications

• Minimum 1+ year of experience as a Data Scientist or Quantitative Professional at a top technology, finance, or research organization, with at least part of that experience within the past 7 years.
• Strong proficiency in Python, machine learning, statistics, experimentation, data analysis, Pandas, and data modeling.
• Undergraduate degree from a well-known university in an English-speaking country.
• Strong written communication skills with the ability to explain statistical and technical concepts clearly.