Kellie Ottoboni is a Senior Data Scientist with 11 years of experience applying rigorous statistical thinking to product and policy problems across tech and academia. With a PhD in Statistics from UC Berkeley, she blends principled inference and skepticism about common assumptions with practical tool-building to make others' work easier and more trustworthy. Her background spans election security, public health interventions, and education research, and she has moved between research fellowships and product-focused roles at Pinterest, Fable, and Scribd. Known for designing reproducible, nonparametric statistical software during her PhD, she brings both depth in methodology and a talent for shipping usable analytics in production. Based in Nevada City, CA, she pairs data rigor with a user-centered approach to decision-making—and is also a devoted plant lover.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at University of California, Berkeley
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