Data Science QA Lead

The work As a Data Science QA Lead, you will review AI-generated data science content and trainer quality work. You will assess technical accuracy, methodology, reproducibility, business context, instruction following, and rubric adherence, then write feedback that helps improve quality across projects. Review data science explanations, Python, R, and SQL snippets, modeling workflows, dashboards, experiment designs, and step-by-step reasoning. Check for data leakage, flawed assumptions, incorre…

Data drives every decision we make. As a member of our analytics team, you will help us unlock the value hidden in our data. You'll build models, create dashboards, and present findings that directly influence our strategic roadmap.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.