Staff Data Scientist, Measurement Methodology Innovation

• Pioneer novel generative modeling and simulation techniques, translating multimodal data and behavioral signals into high-fidelity synthetic evaluation frameworks.
• Architect and iterate on next-generation LLM-based pipelines, building scalable predictive engines to model complex cognitive dynamics, sentiment, and latent user behaviors.
• Design and execute rigorous validation paradigms, establishing backtesting frameworks against historical benchmarks to verify simulation fidelity and predictive precision.
• Drive cross-functional innovation with engineering, research, and product teams to integrate automated evaluation platforms into the core experimentation lifecycle.
• Conduct advanced analytical and statistical investigations on large-scale discovery environments, developing new methodologies to accelerate product quality measurement and algorithmic iteration.

Minimum qualifications:

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.

Preferred qualifications:

• 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations.
• Applied experience with machine learning on large datasets.
• Ability to select the right statistical tools given a data analysis problem along with effective communication skills.
• Excellent leadership and self-direction skills along with willingness to both teach others and learn new techniques.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.