Summary
Pavel Liser is a Senior Data Scientist based in the New York City area with eight years of cross-functional experience blending data science, analytics engineering, and web development. He partners closely with product teams to deliver causal inference, experimentation, forecasting and ML-driven features, while also building data tooling and automation (Airflow, dbt, BigQuery, Metabase, Streamlit) to operationalize insights. Previously he led engineering and education initiatives at Le Wagon—designing curriculum, managing dev teams, and improving NPS by 40%—so he brings rare pedagogy and people leadership to technical product work. A committed educator and community builder, he creates workshops and learning materials on ML, Python and SQL, and frequently teaches coding bootcamp cohorts. Pavel prefers projects that combine technology with positive social impact, particularly in mindfulness and education, and often expresses his learning-by-teaching ethos through open code and instructional content.
8 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, International Business and Finance, Bachelor’s Degree, International Business and Finance at KEDGE Business School
Full-stack development - Ruby on Rails, JavaScript, HTML/CSS, WeChat Miniprograms, PostgreSQL, Full-stack development - Ruby on Rails, JavaScript, HTML/CSS, WeChat Miniprograms, PostgreSQL at Le Wagon
Bachelor of Arts (B.A.), International Business, 9,2/10, Bachelor of Arts (B.A.), International Business, 9,2/10 at Vilniaus universitetas / Vilnius University
English, Russian, Lithuanian, French