Summary
Ruben Naeff is a senior staff data scientist with 11 years of experience applying AI/ML to high-stakes products at Facebook, currently focused on risk, compliance, and age modeling. He has led monetization and relevance initiatives across ads ranking and applied AI, blending production ML systems with product strategy and rapid prototyping. With a background in mathematics (MS) and composition (MM), Ruben pairs formal quantitative rigor with creative problem framing—he also composes music professionally, an unusual cross-disciplinary thread that informs his approach. A former data science instructor at General Assembly, he is open to fractional engagements spanning research, product strategy, and prototyping.
10 years of coding experience
13 years of employment as a software developer
Music Composition and Musicology, Music Composition and Musicology at Conservatories of Amsterdam and The Hague / University of Amsterdam
Master of Music Music Composition, Master of Music Music Composition at New York University
Master of Science (MS) Mathematics Algebraic Geometry, Master of Science (MS) Mathematics Algebraic Geometry at University of Amsterdam
High School, High School at Barlaeus Gymnasium te Amsterdam
English, Dutch, Latin