Summary
Konstantin Yarygin is a Lead Data Scientist based in Moscow with a decade of experience applying applied mathematics and physics to real-world product and trading problems. He progressed from quantitative research into industrial data science roles, shaping forecasting, recommendation and experimentation at OZON after prior work at Plazius (Foodplex) and Wunder Fund. Trained at MFTI (Applied Mathematics and Physics, MSc/BSc), he blends rigorous mathematical modeling with product-minded engineering to move prototypes into production. Known for leading cross-functional teams, he focuses on scalable ML pipelines and measurable business impact rather than academic-only metrics. Outside core role he remains reachable via Telegram, suggesting a hands-on, communicative approach to collaboration.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Applied Mathematics and Physics, Master's degree, Applied Mathematics and Physics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)