Senior Staff Machine Learning Engineer, Gen AI at Mozilla
Seattle, Washington, United States
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Summary
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Senior
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Top School
Rebecca Hadi is an AI Solutions Specialist and data scientist with eight years of experience building production ML and analytics systems across healthcare, retail, and consumer finance. She has led teams and high-impact projects—from developing a 65M-beneficiary inpatient mortality model and sales-ready RShiny tools to driving marketing measurement and attribution for a $150M budget at Nordstrom—combining statistical rigor with product-minded delivery. Rebecca moves models to production, designs data warehouses, and improves pipelines and SLAs while favoring interpretable solutions when they best serve business needs. A Johns Hopkins MS in Computational and Applied Mathematics and a longtime Seattle resident, she also maintains an active GitHub and technical blog and describes herself as a "lover of data and cats," signaling a pragmatic curiosity and a knack for communicating complex analysis to nontechnical stakeholders.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at University of Washington
Course Data Analysis and Modeling with R, Course Data Analysis and Modeling with R at UW Professional & Continuing Education
Healthcare Data Analyst Certificate, Healthcare Data Analyst Certificate at Bellevue College Continuing Education
Master of Science - MS Computational and Applied Mathematics, Master of Science - MS Computational and Applied Mathematics at Johns Hopkins Whiting School of Engineering
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Rebecca Hadi - Senior Staff Machine Learning Engineer, Gen AI at Mozilla