Orysya Stus is a Data Science Lead based in San Francisco with a decade of experience turning large-scale product and help-content signals into actionable product strategy. She led pioneering GenAI vs. human A/B testing and built privacy-aware multi-LLM labeling systems for M365 Copilot, driving insights that shaped assistance strategy for hundreds of millions of users. Her work spans end-to-end productionization of recommendation systems, cross-organization analytics, and customer-facing dashboards, consistently improving NPS and monetization metrics. Trained in bioengineering and data science at UC San Diego, she brings domain depth from bioinformatics to enterprise SaaS and a track record of scaling analytics across 40K+ commercial customers. A practical experimenter, she combines causal inference and large-scale product experimentation to reveal non-obvious content and help gaps that guide product roadmaps.
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