Todd Doughty
Head Of Risk Interventions Data Science
United States
Summary
👤
Senior🎓
Top SchoolTodd Doughty is a data science leader with 11 years of experience building measurement, forecasting, and risk systems at high-growth tech companies, currently heading Risk Interventions Data Science at Stripe. He has led cross-functional teams of 30+ data scientists and engineers to define corporate metrics, drive privacy-compliant measurement frameworks, and operationalize A/B holdouts and attribution models that inform strategic planning. At Twitter he earned a company impact award for the audience forecast model and drove product measurement efforts across a 2,000-person org; earlier roles combined large-scale data engineering and experimentation to improve user outcomes at billion-user scale. Trained as a physicist (Ph.D., UC Berkeley), he brings a researcher's rigor to messy production problems and a track record of mentoring managers and growing teams. Unobvious: his background in experimental physics underpins a specialty in designing robust holdout experiments and measurement pipelines that reduce false positives in intervention systems.
11 years of coding experience
15 years of employment as a software developer
Master’s Degree, Physics, Master’s Degree, Physics at University of California, BerkeleyBachelor’s Degree, Physics, Bachelor’s Degree, Physics at Brigham Young University
Stackoverflow
387reputation
17kreached
3answers
3questions
Github Skills (32)
pandas9
manipulation9
python9
statistics9
data-analysis9
frame9
data-structures8
machine-learning8
dataframes8
data-science8
data-manipulation7
gitconfig6
binary-files6
attribute6
scikit-learn6
Programming languages (3)
Github contributions (5)
cdips/CDIPS-DSW-2015
May 2015 - Jul 2015
Contributions:8 commits, 1 PR, 6 pushes in 1 month
pythonsciencedata-scienceworkshopmachine-learning
tdoughty1/programming
Jan 2015 - Jul 2015
Contributions:6 pushes, 1 branch in 5 months
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