Vahan Nanumyan is a Senior Principal Scientist and leader in experimentation and causal inference, currently shaping Zalando’s evidence-driven product strategy with a remit akin to Chief AI & Science Officer. With an 11-year career spanning Google Search Ads Quality, consulting for enterprise compliance, and academic research at ETH Zürich, he combines rigorous applied statistics and machine learning with hands-on metric and KPI design for controlled online experiments. His PhD on collaborative knowledge networks and work on random graph models and anomaly detection reflect deep expertise in complex systems rarely found in product-focused data science roles. Vahan is known for translating long-term, system-level effects into actionable product insights and building horizontal causal inference tools used to inform decision-making at scale.
11 years of coding experience
10 years of employment as a software developer
Bachelor's degree Theoretical Physics, Bachelor's degree Theoretical Physics at Yerevan State University
Doctor of Philosophy (Ph.D.) Complex Systems; Data-driven modelling of socio-technical systems, Doctor of Philosophy (Ph.D.) Complex Systems; Data-driven modelling of socio-technical systems at ETH Zürich
A small script to convert PDF presentations to PPTX format. Allows to combine the power of LaTeX beamer presentations and the convenience of presenting in PowerPoint
Contributions:4 commits, 2 PRs, 2 pushes in 1 year 2 months
Non-central Hypergeometric distributions in Python ported from R BiasedUrn
Contributions:20 commits, 10 pushes, 2 branches in 3 days
distributionspython
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Vahan Nanumyan - Senior Principal Scientist at Zalando