Software Engineer Security Data Science (Chief Information Security Office)
New York City Metropolitan Area United States
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Summary
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Rockstar
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Top School
Stefanie Molin is a software engineer specializing in security data science with eight years of experience building full-stack analytics, automation, and ML tooling for Bloomberg’s Chief Information Security Office. She combines rigorous engineering with data-first product thinking—shipping Python backends, React/D3 front-ends, and reproducible visualization tooling to turn security telemetry into automated insights and anomaly detection. Author of the bestselling Hands-On Data Analysis with Pandas and an active contributor to major Python projects (pandas, scikit-learn, matplotlib, seaborn), she focuses on improving documentation, testing, and reproducibility across open-source ecosystems. A seasoned trainer and international speaker, she also mentors junior engineers and has led cross-functional initiatives in diversity and community-building. Notably, her open-source work includes numpydoc-driven doc fixes for scikit-learn and UI/plotting enhancements in matplotlib, reflecting a rare blend of user-facing polish and engineering discipline.
8 years of coding experience
6 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at Quantic School of Business and Technology
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Science - BS Operations Research, Bachelor of Science - BS Operations Research at Columbia Engineering
An introductory workshop on pandas with notebooks and exercises for following along. Slides contain all solutions.
Role in this project:
Full-stack Developer
Contributions:1 review, 166 commits, 67 PRs in 1 year 8 months
Contributions summary:Stefanie appears to be a full-stack developer, making contributions across the front-end and back-end. They primarily added and modified code related to the workshop setup, including setup instructions and environment checks. They also focused on the content for the workshop by adding the initial version of the getting started section and making improvements to the existing content by fixing typos, and updating image sizes, and links.
A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.
Role in this project:
Data Scientist
Contributions:5 reviews, 274 commits, 67 PRs in 1 year 2 months
Contributions summary:Stefanie added a function to configure the SVG backend for Matplotlib, enabling reproducible plot generation. They also created, and then modified, a function to generate a bar plot and customize it with legends, axis labels, and annotations. Their focus was on building and customizing plots, specifically with the Matplotlib API, indicating a strong interest in data visualization and creating reproducible outputs.
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Stefanie Molin - Software Engineer Security Data Science (Chief Information Security Office)