Jessie Bauer
Staff Data Scientist MLE
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJessie Bauer is a staff-level data scientist and machine learning engineer with over a decade of applied experience delivering $70M+ in business impact across fraud prevention, customer experience, and product analytics. She combines rigorous causal inference and statistical modeling skills from a PhD in Psychology and Applied Statistical Modeling with hands-on production ML expertise—building end-to-end pipelines, automated experimentation frameworks, and deployed models at scale. At Expedia and Apple she led initiatives that generated tens of millions in savings and operational improvements, and at Twitter she built proactive insider-fraud detection systems that uncovered novel threat patterns. Known for translating complex analyses into executive-facing strategy, she also mentors teams and institutionalizes best practices in code, data pipelines, and measurement. Based in Seattle, she brings a rare mix of behavioral science rigor and production engineering discipline that surfaces non-obvious drivers of value in noisy operational data.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Psychology & Applied Statistical Modeling, Doctor of Philosophy (PhD) Psychology & Applied Statistical Modeling at The University of Texas at AustinUniversity of California, San Diego
English, French, Spanish
Github Skills (5)
aws-s310
regression10
manifold10
aws-sdk10
sagemaker9
Programming languages (1)
Github contributions (5)
JessieRayeBauer/jessierayebauer.github.io
Jan 2018 - Apr 2018
Contributions:218 pushes in 2 months
JessieRayeBauer/Fitbit
Jan 2018 - Jun 2018
Contributions:31 commits, 30 pushes, 1 branch in 5 months
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