Lead Data Scientist — experimentation and causal inference

- Designed and led pricing experiments, increasing revenue and usage of transactional services.
- Strengthened ties with global data leadership, delivering insights that influenced investment decisions in the German and Dutch markets.
- Redesigned the product data science team’s objectives and planning, aligning them with broader company goals.
- Led a large-scale marketplace insights project, collaborating across multiple product tribes to identify and resolve inefficiencies. Mentored senior data scientists in securing buy-in for their initiatives.
- Promoted a culture of experimentation by organizing an internal experimentation conference.
Senior Data Scientist — experimentation and causal inference

- Cut data scientist-hours by 3h per experiment, and reduced experiment runtime by 20% as core dev and statistician for internal experimentation python package
- Fostered research culture through upskilling R&D teams in structured opportunity finding in our internal Analytics University
- Designed and delivered causal inference projects, steering prioritisation towards solving given user pain points
Data Scientist, Global — product insights

- Uncovered potential to verticalise categories, through advanced statistical modeling and simulation
- Shaped global strategy to fight fraud, by identifying the impact of exposure to fraud on our products and business, using econometric methods for causal inference
Intern Data Scientist

- Quantitatively validating customer experience metrics; Customer Effort Score, Smile Metric. Ad-hoc analyses and deep-dives on user behaviour
Teaching Assistant at University of Utrecht

Intern Research & Statistics Advisor at University of Amsterdam
