Summary
Lukas Toma is a Director of Data & Machine Learning based in Innsbruck with a decade of experience building and scaling data and AI teams and shipping user-facing ML features. At Zapier he grew data orgs from hands-on teams to 50+ professionals, established centralized tooling, and aligned data strategy with product and business priorities. His background spans founding data education and consultancy ventures, productionizing ML systems for credit scoring and personalized recommendations, and implementing company-wide attribution and experimentation frameworks. Known for blending pragmatic engineering (dbt, Airflow, Kafka, Redshift) with strategic leadership, he focuses on delivering measurable business impact through reliable data lifecycles. An applied mathematician by training, he brings both rigorous modeling expertise and a knack for scaling teams and processes in fast-moving product environments.
10 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at Masarykova univerzita
POLITEHNICA București National University for Science and Technology
Master's degree, Data Mining and Knowledge Management, Master's degree, Data Mining and Knowledge Management at Polytech Nantes
English, French, Czech, Slovak, Russian, German