Staff Data Scientist
Sep 2025 - Present | Manychat
- Informed leadership's global rollout decision on a new pricing model. Built a synthetic experiment pipeline (Abadie & Zhao, 2021) across geo-level holdouts: +31% revenue lift, −16% conversion trade-off.
- Gave the company its first method to estimate long-term experiment impact from short-term data. Built a long-term proxy index (Athey et al. 2024) now used in the experimentation pipeline.
- Reshaped 2026 Inbox team OKRs by sizing a $10M ARR opportunity. Multi-state survival models showed consistency; not intensity; halves churn risk.
- Revealed that the company's core engagement metric is segment-specific: strong retention driver for affiliates, weak for e-commerce. Led a cross-functional workshop of 6 and causal inference research.
- Eliminated analyst bottlenecks and enabled technical excellence in experimentation by driving Eppo adoption as company-wide platform. Led a structured POC with a cross-functional stakeholder panel and designed the governance layer: lifecycle protocols, metric standards, tiered approval.
- Established an evidence-based product discovery process with a cross-functional squad, scoring rubric, and hypothesis tracker. Redirected the H2 roadmap from feature-building to solving the real adoption barrier.
Staff Data Scientist — experimentation and causal inference
Apr 2023 - Sep 2025 | Adevinta (formerly eBay Classifieds) — Marktplaats
- Increased transactional services revenue by 8% at constant demand. Identified pricing as the highest-leverage growth lever and designed a multi-cell experimentation programme.
- Led global leadership to invest in listing detail page improvements by pinpointing which item page properties drive higher conversion across German and Dutch marketplaces.
- Uncovered inefficiencies costing an estimated 14% of transactions through cross-tribal funnel diagnostics spanning 2 product tribes. Mentored senior data scientists in securing stakeholder buy-in.
- Founded a recurring internal experimentation conference; cross-market forum where champions shared methods, challenged designs, and raised testing rigour.
Senior Data Scientist — experimentation and causal inference
Sep 2019 - Apr 2023 | eBay (classifieds group)
- Built the standard experimentation toolkit across eBay Classifieds markets. Co-developed the internal Python package as core developer and statistician; cut setup by 3h per experiment, runtime by 20%.
- Trained 150+ colleagues in structured opportunity finding through an internal Analytics University (trainer score 9+/10). Graduates independently designed experiments that previously required analyst support.
Data Scientist, Global — product insights
Nov 2018 - Sep 2019 | eBay (classifieds group)
- Informed investment decisions on which product categories to specialise by identifying verticalisation opportunities through network modelling and simulation.
- Shaped global fraud prevention strategy by quantifying fraud exposure's causal impact on marketplace trust and transaction volume using econometric methods.
Intern Data Scientist
May 2018 - Nov 2018 | eBay (classifieds group)
- Validated customer experience metrics (Customer Effort Score, Smile Metric) through quantitative analysis and behavioural deep-dives.
