Sydney Kahmann
Data Science Manager
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSydney Kahmann is a Data Science Manager and Statistics Ph.D. candidate at UCLA with a decade of experience applying rigorous statistical and causal methods to measure real-world impact. Currently leading an inference-focused team at Mozilla, she blends academic depth—as an NSF Graduate Research Fellow—with hands-on consulting experience to turn nuanced causal questions into actionable analyses. She co-founded UCLA’s Society of Women in Statistics, demonstrating commitment to mentorship and community-building alongside her research. Known for translating advanced treatment-effect methodology into production-ready insights, she brings a rare combination of theoretical rigor and product-oriented delivery from the San Francisco Bay Area.
10 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of California, Los Angeles
Github Skills (33)
looker10
lookml10
mozilla10
data-collection9
spark9
data-analytics9
python9
data-warehouse9
etl-framework9
nimbus9
documentation9
data-visualization9
data-analysis8
etl8
big-data8
Programming languages (4)
Github contributions (5)
skahmann3/skahmannweb
Jan 2019 - Sep 2021
Contributions:29 pushes in 2 years 8 months
skahmann3/skahmann3.github.io
Jan 2019 - Sep 2021
Contributions:30 pushes, 1 branch in 2 years 7 months
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