Engineering Analyst, Generative AI Trust And Safety
Seattle, Washington, United States
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Summary
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Senior
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Top School
Scott Schumacker is an Engineering Analyst focused on Generative AI Trust & Safety with eight years of experience turning complex data into actionable product decisions. He blends quantitative analysis, R/Python/SQL engineering, and dashboard-driven storytelling to accelerate testing and drive business strategy—previous work includes automating test scripts to boost efficiency by 30% and building apps that cut review time in half. At Genentech he led cross-functional data quality and risk management across regulated clinical studies, and at Canary Medical he helped shape SaMD product direction through analytics and interactive visualization. Now at Google he applies that mix of product-minded data science and operational rigor to trust and safety for generative models. Colleagues rely on him for pragmatic tooling and clear communication that bridges technical and non-technical stakeholders.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.) Biology/Biological Sciences General, Bachelor of Science (B.S.) Biology/Biological Sciences General at James Madison University
An RShiny dashboard to showcase different visualizations
Contributions:57 PRs, 57 pushes, 6 branches in 1 month
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Scott Schumacker - Engineering Analyst, Generative AI Trust And Safety