Hani Al-shater is a seasoned applied science leader with over a decade of experience building machine learning and data-driven products at scale, now heading Applied Science at Zalando after senior science leadership roles at Amazon. He has led cross-continental teams of up to 18 engineers and scientists, hiring 25+ specialists and founding multiple applied science units focused on search, recommendations, moderation, and community feedback. At Amazon he owned and improved core algorithms for star ratings, reviews, Q&A, and helped launch search in AE/SA while co-building the company’s first proactive image moderation system. His background spans product-focused ML, big data infrastructure, and production search science, with earlier roles creating recommendation platforms and embedded-device algorithms. Based in Berlin, Hani blends scientific vision with hands-on execution and a track record of multi-billion-dollar impact, plus a less obvious strength: deep operational experience in multilingual and regional expansions. He holds an MSc in Computer Engineering and a foundation in mathematics, bringing both technical rigor and strategic leadership to high-impact ML products.
10 years of coding experience
14 years of employment as a software developer
MSc Computer Engineering, MSc Computer Engineering at Jami'at Al-Ulum wa Al-Tiknolojia Al-Urdunia
BCs Mathematics, BCs Mathematics at Al Jami'at Al-Hashimiyyah
BCs Computer Engineering, BCs Computer Engineering at Al-Balqa Applied University (BAU)
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Hani Al-shater - Head Of Applied Science at Zalando