Brandon Sherman
Data Scientist II - Cost Prediction
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolBrandon Sherman is a data scientist and statistician with 12 years of experience building production ML and inference pipelines for product and operations. He has led cross-functional initiatives at Indeed to infer pay and personalize job experiences, delivering a production pay model that increased coverage by 34% and cut MAPE by 58%. At Xometry he focuses on cost prediction models and reusable Python ML libraries, while earlier roles involved large-scale geospatial, signal-processing, and behavioral analyses for automotive and identity products. Trained at Carnegie Mellon (MSP) with a BS in Math & Statistics, he excels at translating complex statistical results into actionable product decisions and designing rigorous A/B tests. Notably, he has a track record of turning stalled metrics into measurable progress—e.g., developing a domain-specific recall metric after years of stagnation—and building tooling (Shiny dashboards, internal libraries) that scales team impact. Based in Seattle, he combines deep statistical rigor with pragmatic engineering to drive measurable product outcomes.
12 years of coding experience
8 years of employment as a software developer
Masters in Statistical Practice (MSP) Statistics, Masters in Statistical Practice (MSP) Statistics at Carnegie Mellon UniversityBachelor of Science (BS) Mathematics and Statistics, Bachelor of Science (BS) Mathematics and Statistics at University of Pittsburgh
English, Portuguese
Stackoverflow
673reputation
39kreached
6answers
30questions
Github Skills (20)
console9
python9
cli9
shell9
command-line8
haskell6
homebrew6
aggregations6
dplyr6
ghci6
shiny6
datetime6
r6
aws5
policies5
Programming languages (1)
Github contributions (5)
mechcozmo/assumer
Apr 2016 - Jan 2018
Contributions:7 pushes, 4 branches in 1 year 9 months
devsecops/assumer
Jun 2016 - Jan 2018
Contributions:12 commits, 4 PRs, 2 comments in 1 year 7 months
accountguicross-accountawsmfa
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