Data Scientists, Statistics & Analytics Experts.
We are seeking experienced Data Scientists, Statistical Modeling Experts, Analytics Scientists, and Applied Data Science Professionals for a high-impact project supporting one of the world’s leading AI research labs.
What You’ll Do
- Create challenging data science and statistical reasoning problems
- Design realistic analytical scenarios based on professional data science work
- Develop problems involving statistics, experimentation, modeling, forecasting, and data interpretation
- Create reference solutions and explain the reasoning behind them
- Evaluate AI-generated answers for correctness, methodology, and analytical rigor
- Identify statistical errors, flawed assumptions, data leakage, inappropriate methodologies, and unsupported conclusions
- Assess whether AI outputs demonstrate real-world data science judgment
- Develop problems that require multi-step quantitative and analytical reasoning
- Review calculations, models, charts, experiments, and recommendations
- Provide clear written explanations and structured technical feedback
Who Can Apply
Relevant backgrounds include:
Data Scientists, Senior Data Scientists, Staff Data Scientists, Principal Data Scientists, Lead Data Scientists, Applied Data Scientists, Research Data Scientists, Product Data Scientists, Business Data Scientists, Growth Data Scientists, Marketing Data Scientists, Decision Scientists, Analytics Scientists, and Computational Data Scientists.
We also welcome:
Statistical Scientists, Statisticians, Applied Statisticians, Quantitative Analysts, Quantitative Researchers, Experimentation Scientists, Causal Inference Scientists, Forecasting Scientists, Optimization Scientists, Operations Research Scientists, and Predictive Modeling Specialists.
Machine learning-oriented data science backgrounds may include:
Machine Learning Scientists, Applied Scientists, ML Data Scientists, Predictive Analytics Scientists, Recommendation Scientists, Ranking Scientists, Personalization Scientists, NLP Data Scientists, and AI Data Scientists with strong statistics and analytical foundations.
Analytics backgrounds may include:
Product Analytics Professionals, Advanced Analytics Scientists, Customer Analytics Scientists, Marketing Analytics Scientists, Risk Data Scientists, Pricing Data Scientists, Revenue Data Scientists, Fraud Data Scientists, Financial Data Scientists, Healthcare Data Scientists, and Operations Data Scientists.
Requirements
Strong applicants should have:
- PhD, Master’s, or another advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Operations Research, Economics, Biostatistics, Quantitative Methods, or a closely related field
- Equivalent high-level professional industry experience may also be considered
- Strong background in data science, statistics, or quantitative analysis
- Demonstrated ability to solve difficult analytical problems
- Strong understanding of statistical methodology and model evaluation
- Ability to explain complex quantitative reasoning clearly
- High attention to detail
- Exceptional written and verbal communication skills
This opportunity is ideal for highly analytical data scientists who enjoy creating difficult problems, challenging assumptions, evaluating rigorous quantitative work, and testing the limits of advanced AI systems. We are a referral partner of the client.