Principal Data Scientist & Director Of Engineering
Washington, District of Columbia, United States
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Summary
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Rockstar
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Top School
Jay Qi is a Principal Data Scientist and engineering leader with 11 years of experience applying machine learning and software engineering to mission-driven problems across industry and research. He has led teams building condition-monitoring and failure-prediction systems for heavy equipment and locomotives, scaled ML deployments in production, and now directs engineering at DrivenData where he focuses on climate, health, education, and disaster-recovery use cases. Trained as a mechanical and aerospace engineer (Princeton, Caltech) and an NSF fellow, he combines rigorous numerical simulation and control expertise with practical data-science tooling and pipelines. Notably, his background includes hands-on robotics and rover-drill design at JPL and core contributions to open-source tools for data science workflows, reflecting a rare blend of physical-systems intuition and production ML experience.
11 years of coding experience
12 years of employment as a software developer
Fellow, Data Science, Fellow, Data Science at The Data Incubator
California Institute of Technology
B.S.E. with highest honors, Mechanical and Aerospace Engineering, B.S.E. with highest honors, Mechanical and Aerospace Engineering at Princeton University
Contributions:8 pushes, 3 branches in 5 years 7 months
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