Jacqueline Nolis
Principal Machine Learning Scientist at Medium
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJacqueline Nolis is a data scientist and technical leader with 11 years of experience building and productizing machine learning solutions for enterprises including Microsoft, T-Mobile, Fanatics, and Expedia. She has led data science teams from founding stages to production, architecting large-scale systems—such as a Spark- and Docker-based model that scores favorite teams for 150M customers and runs daily for personalization and marketing. Her work spans optimization for ad bidding and campaign spend, NLP at scale serving millions of requests daily, and practical MLOps patterns that moved prototypes into production. Jacqueline blends hands-on model development (TensorFlow, PyTorch, RAPIDs, Dask) with product and UX-focused leadership from her CPO role, enabling teams and customers to deploy complex multi-GPU and cloud-native workflows. Known for mentoring across technical and stakeholder dimensions, she brings a PhD-level analytical background in industrial engineering to strategic business decisions at the executive level.
11 years of coding experience
12 years of employment as a software developer
PhD Industrial Engineering, PhD Industrial Engineering at Arizona State UniversityMaster of Science Applied Mathematics, Master of Science Applied Mathematics at Worcester Polytechnic Institute
Stackoverflow
1,527reputation
115kreached
14answers
23questions
Github Skills (139)
data-manipulation10
docker-container10
r10
graphic10
dplyr10
plumber10
r-package10
data-visualisation10
grammar10
api9
csv9
python9
pydata9
machine-learning9
parsing9
Programming languages (13)
Github contributions (5)
jnolis/ggirl
Mar 2021 - Oct 2022
Make GGplots In Real Life
Contributions:82 commits, 8 PRs, 27 pushes in 1 year 7 months
real-lifelifevisualization
jnolis/banned-license-plates
Jan 2018 - May 2022
Using R and Keras to generate banned license plates
Contributions:16 commits, 2 PRs, 11 pushes in 4 years 4 months
keras
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