Data Scientist Talent Network

Network purpose

This network is for potential future projects that evaluate how effectively AI systems perform real-world data science work. There is no immediate opening, but qualified data scientists may be contacted when a relevant project becomes available.

Potential responsibilities

• Design precise grading criteria for exploratory analysis, statistical models, machine-learning pipelines, experiments, A/B-test write-ups, feature engineering, notebooks, and technical reports.
• Evaluate AI-generated or human-created work against established criteria.
• Provide detailed written justification for scores and evaluation decisions.
• Apply evidence-based judgment consistently so results are reproducible and defensible.
• Incorporate structured reviewer feedback and revise submitted work.
• Adapt to project-specific responsibilities as assignments vary.

Relevant background

• 1+ years of professional data science experience.
• Experience at a strong technology, research, or quantitative organization.
• Strong command of Python, SQL, statistical modeling, machine learning, experimentation, and causal inference.
• Ability to turn messy real-world data into rigorous analysis.
• Clear technical writing, close attention to detail, and consistent judgment.
• Comfort calibrating decisions against established standards.