David Erickson
Principal Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDavid Erickson is a Principal Data Scientist in San Francisco who blends an academic PhD background in biophysics with eight years of industry experience driving data strategy, product metrics, and ML-enabled tooling. He has led manufacturing-scale transformations as a former executive—delivering 50x capacity and 30x revenue growth—then translated that operational rigor into data platforms and analytics roles at companies like Facebook, Cash App, and RunBuggy. At RunBuggy he set KPIs and built LLM-driven interfaces to make complex data products accessible to diverse stakeholders, and earlier work spans retail assortment optimization at Levi's to impact-focused ML for solar deployment in Africa. Comfortable across data engineering, statistical modeling, and production ML, he combines deep quantitative instincts with hands-on systems building and cross-functional leadership. An uncommon strength is his ability to convert messy operational and inventory signals into robust data assets that directly inform product and business decisions.
8 years of coding experience
13 years of employment as a software developer
University of California, San DiegoBachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at Virginia Tech
Stackoverflow
13reputation
4kreached
1answer
1question
Github Skills (6)
amazon-sagemaker6
parquet6
amazon-kinesis6
amazon-web-services6
hadoop6
amazon-s36
Github contributions (5)
daericks/datasf
Jun 2019 - Feb 2020
Contributions:113 commits, 106 pushes in 8 months
daericks/yelp-dataset
Nov 2019 - Jan 2020
Contributions:48 commits, 43 pushes, 1 branch in 2 months
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