Daniel Wiesenthal

Staff Data Scientist, Machine Learning

San Francisco, California, United States
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Summary

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Senior
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Top School
Daniel Wiesenthal is a Staff Data Scientist and machine learning leader with a decade of experience turning research-grade AI and HCI insight into production data products and recommendation systems. He pairs an MS in Computer Science and BS in Symbolic Systems from Stanford with hands-on engineering—cofounding and CTOing multiple startups and shipping end-to-end ML pipelines at Stitch Fix to optimize assortment, sizing, and personalized recommendations. Comfortable bridging technical and non-technical stakeholders, he has led teams, taught immersive data science programs, and created scalable, interpretable systems that centralize metrics and align cross-functional business needs. His background in linguistics, cognitive psychology, and early research on sentiment flowing through networks gives him a rare ability to design models that prioritize human experience as much as predictive performance. Outside work he’s driven by entrepreneurship, teaching, and a love of coffee—so he’s equally likely to debug a model or spark a new collaboration over a cup.
code10 years of coding experience
job8 years of employment as a software developer
bookSwahili Studies and Coastal Cultures of East Africa, Swahili Studies and Coastal Cultures of East Africa at SIT Study Abroad
bookInternational Baccalaureate, International Baccalaureate at French American International High School
bookBS, Symbolic Systems, BS, Symbolic Systems at Stanford University
languagesEnglish, Swahili, French, German
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Stackoverflow

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Github Skills (37)

shell8
flask8
python8
naive-bayes8
science7
web-development6
linux6
bash6
zsh5
macos5
pip5
requirements5
pandas5
machine-learning5
packaging5

Programming languages (4)

CSSRoffJupyter NotebookPython

Github contributions (5)

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Companion code for Introduction to Python for Data Science: Coding the Naive Bayes Algorithm evening workshop
Contributions:24 commits, 3 PRs, 20 pushes in 2 months
introduction-to-pythonpythonsciencenaive-bayesbayes-algorithm
danwiesenthal/base_flask_app

Jan 2017 - May 2017

Contributions:10 PRs, 35 pushes, 10 branches in 3 months
flaskpythonbase-structure
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Daniel Wiesenthal - Staff Data Scientist, Machine Learning