Kimberly Siegler
Senior Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolKimberly Siegler is a Senior Data Scientist in San Francisco with a decade of experience turning complex problems into mathematical and production-ready solutions using optimization and machine learning (Python, R, PostgreSQL). She has built and productionized forecasting and ensemble models for millions of SMBs and contributed optimization-driven analytics at organizations ranging from startups to Meta and Mozilla. Her strengths span exploratory data analysis, constraint-based modeling, supervised and unsupervised methods, and pragmatic data acquisition via web crawling and APIs. Early work on mixed-integer programming for strike-zone modeling and integrative public-health analyses reflects a blend of rigorous mathematics and applied domain insight. Colleagues rely on her ability to cut computation time dramatically while translating business questions into robust, auditable models.
10 years of coding experience
8 years of employment as a software developer
Mathematics, Statistics, Mathematics, Statistics at University of Wisconsin-MilwaukeeData Analytics, Statistics, Computer Science, Data Analytics, Statistics, Computer Science at University of San Francisco
Github Skills (18)
looker10
firefox10
data-warehouse9
etl-framework9
lookml9
monorepo9
mozilla8
data-analytics8
spark8
bigquery7
big-data7
etl7
elt6
python6
data-engineering6
Programming languages (4)
Github contributions (5)
ksiegler1/LagrangianRelaxation
Jul 2016 - Jul 2016
Contributions:12 commits, 11 pushes, 1 branch in 1 day
ksiegler1/ConstellationClustering
Jul 2016 - Jul 2016
Contributions:8 pushes, 1 branch in 1 day
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