Michael Kosk
Senior Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMichael Kosk is a Senior Data Scientist based in New York with eight years of experience turning noisy data into business impact across consumer tech and financial services. He’s led product-first analytics and experimentation for LinkedIn Learning and built high-impact pricing and attrition models for top-10 banks, pairing rigorous statistics with pragmatic data engineering (R, Python, SQL, Spark/Hadoop). At Uber he drove multi-hundred-million-dollar cost savings and owned several top-1% datasets, and he now applies feed relevance modeling at Instagram. A Princeton Philosophy & Computer Science grad who completed Metis’ ML training, he blends analytical depth with product intuition and a history of shipping cloud data tools and Rails apps in side projects. Colleagues rely on him to bridge engineering, experimentation, and leadership contexts while mentoring teams to use data for crisp decisions.
8 years of coding experience
8 years of employment as a software developer
Machine Learning, Machine Learning at Metis Data Science Bachelor’s Degree Philosophy | Computer Science, Bachelor’s Degree Philosophy | Computer Science at Princeton University
English, Polish
Github Skills (8)
science4
python3
machine-learning3
aws3
data-science2
azure2
kubernetes2
mlops1
Github contributions (5)
mikekosk/Urchin-Data-Cloud
Sep 2017 - Nov 2017
Contributions:25 commits, 3 PRs, 24 pushes in 2 months
pythonsciencedata-sciencemachine-learningmlops
mikekosk/Spotify-Analyzer
May 2018 - May 2018
Contributions:9 pushes in 4 days
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