Summary
Katja Wittfoth is a senior data scientist who blends full-stack data science with strategic impact, having spent 5+ years scaling data capabilities at high-growth SaaS, fintech, and health-tech startups. As Silo’s first data hire, she defined the data roadmap, built the analytics and ML stack (Snowflake, Airflow, DBT, MLflow, AWS, and more), and shipped AI features that accelerated growth and improved GTM outcomes. Her work spans product, engineering, and executive decision-making, including automated onboarding, market intelligence, fraud detection, and NLP-driven catalog attribute extraction. Before Silo, she honed finance and analytics skills at Bayer, leading forecasting models and data initiatives in global pharma/biotech, and she now advises early-stage startups on data strategy and ML/AI feature development. Based in San Francisco, she’s currently shaping data strategy at Mercury while mentoring at Techstars and advising Mira, reflecting a hands-on leadership style that blends business acumen with engineering craft. She holds a Master of Science in Data Science from the University of San Francisco and brings a disciplined, product-driven approach to turning data into measurable business impact.
8 years of coding experience
10 years of employment as a software developer
Master's Degree Data Science, Master's Degree Data Science at University of San Francisco
German, Russian, English