Matteo Carretta
Applied Scientist @Zalando
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WORK HISTORY
Applied Scientist @Zalando
Berlin, DE
Lead development of production ML systems in fraud detection and risk assessment, driving multi-million annual business impact.• Act as tech lead, owning delivery, stakeholder alignment, and mentoring scientists.• Design and deploy real-time and large-scale ML solutions, from experimentation to A/B testing and production.• Build and prototype LLM-based solutions to extract signals from unstructured data and enable AI-driven decision support.• Drive cross-team initiatives to improve core business KPIs and data-informed decision-making.Contribute to ML platform and MLOps capabilities to enable scalable model training and monitoring.
EDUCATION
Università degli Studi di Parma
Bachelor of Engineering, Computer, Electronics and Telecommunications Engineering
Politecnico di Milano
Master's degree, Computer Science and Engineering - Artificial Intelligence and Machine Learning
ABOUT MATTEO CARRETTA
Applied Scientist with 5+ years of experience building and scaling production machine learning systems across fraud detection, marketing optimization, and recommendation systems. I have a strong track record of delivering end-to-end ML solutions that drive multi-million annual business impact.I currently work at Zalando, where I lead cross-team initiatives and contribute to the design and deployment of real-time and large-scale ML systems, from experimentation and A/B testing to production. I enjoy operating at the intersection of research and engineering, translating complex problems into scalable, high-impact solutions.My core strengths include applied machine learning, LLM-based systems, MLOps, stakeholder collaboration, and taking models from ideation to production using modern ML and cloud stacks.
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