Data Scientist, Financial Engineering
Core
Own analytics and experimentation for checkout, payments, subscriptions, and pricing systems to improve conversion, reduce churn, and expand global payment coverage.
Role type
Senior IC data scientist (payments & monetization)
Builds
Checkout and payments analytics, experimentation programs, source-of-truth data assets, and operational dashboards.
Domain
Fintech / SaaS payments / Subscription economics
Deliverable
product features
Required skills
SQL, Python, A/B testing design, quasi-experimental methods, product metrics definition, causal inference, offline incrementality, FX and pricing strategy
Preferred skills
Payments/checkout analytics, PSP/bank rails experience, uplift modeling, CUPED, counterfactual evaluation, internationalization/local payments, operational analytics (alerting/SLIs)
Technologies
SQL, Python
Responsibilities
Define success metrics and guardrails for checkout experiments; build and run staged rollouts; create operational visibility and self-serve dashboards; lead subscription retention and monetization analytics including churn reduction and elasticity frameworks.
Seniority
Senior, hands-on IC