Summary
Mischa Lisovyi is a Senior Data Scientist and ML engineer with 8 years of experience who blends particle-physics rigor with production-grade Python engineering to deliver end-to-end data products. He has driven ML systems, ETL pipelines, and user-facing dashboards at scale—implementing CI/CD, Airflow orchestration, MLflow experiment tracking, and k8s deployments—most recently at the Swiss National Bank after leading data science efforts at Migros. His background in high-energy physics and large-scale computing (including GRID/HTC workflows and 100k+ CPU-hour simulations) gives him deep experience in efficient, parallelised data processing and robust model calibration. Known for pragmatic tooling and reproducibility, he authors project templates, enforces testing and type checks, and mentors teams while reviewing code in agile environments. Based in Dachsen, Zurich, he combines academic rigor from a PhD in High Energy Physics with hands-on product delivery, making complex analytics operational and auditable.
8 years of coding experience
14 years of employment as a software developer
Master of Science (MSc), Nuclear and High Energy Physics, Master of Science (MSc), Nuclear and High Energy Physics at Kyiv National Taras Shevchenko University
Doctor of Philosophy (PhD), High Energy Physics, sehr gut, Doctor of Philosophy (PhD), High Energy Physics, sehr gut at Universität Hamburg
English, German, Russian, Ukrainian