Jonathan Baze

Senior Data Scientist, Fraud Detection

Montreal, Quebec, Canada
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Summary

👤
Senior
🎓
Top School
Jonathan Baze is a Senior Data Scientist specializing in fraud detection with six years of experience building and deploying ML-driven solutions for credit card transaction security at Desjardins. He combines a strong academic foundation—Master’s in Data Science & Business Analytics (3.9) and a BE in Industrial Engineering—with hands-on skills in ETL, SQL, Python, and production model performance analysis. His background spans end-to-end project work from algorithm design and hierarchical clustering research (MITACS) to operationalizing pipelines and prioritizing work in agile security teams. Based in Montreal, he brings a pragmatic blend of analytics, software engineering, and domain knowledge in payments risk, plus a history of shipping data products in both startup and enterprise contexts. An often-overlooked strength is his recurring role in teaching and process optimization, which helps him translate complex models into actionable, auditable solutions for stakeholders.
code6 years of coding experience
job4 years of employment as a software developer
bookPost-secondary preparatory school PCSI, Admitted in second year, Post-secondary preparatory school PCSI, Admitted in second year at Lycée Massena
bookBachelor of Engineering - BE, Industrial Engineering, Graduated with Honors (3.6), Bachelor of Engineering - BE, Industrial Engineering, Graduated with Honors (3.6) at Polytechnique Montréal
bookMaster's degree, Data Science & Business Analytics, Graduated with Honors (3.9), Master's degree, Data Science & Business Analytics, Graduated with Honors (3.9) at HEC Montréal
languagesFrench, English, Spanish
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Github Skills (7)

pickup10
logistics9
solver9
vehicle-routing-problem9
optimization8
vroom8
operations-research6

Programming languages (1)

C++

Github contributions (5)

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Contributions:13 commits, 11 pushes, 1 branch in 2 months
Contributions:6 pushes, 1 branch in 7 days
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Jonathan Baze - Senior Data Scientist, Fraud Detection