Data Scientist
Core
Partner with Product, Finance, Payments, Security, Risk, Growth, and Go-to-Market teams to optimize systems, leverage data for strategic decisions, and drive business impact using machine learning, statistical modeling, and analytics.
Role type
Data Scientist
Builds
Models, data products, and insights for product optimization, fraud prevention, forecasting, risk management, and growth experiments.
Domain
Financial infrastructure / Payments
Deliverable
production ML models
Required skills
SQL, Python or R, cross-functional collaboration, project management, business acumen, AI tools proficiency
Preferred skills
Machine learning, statistics, optimization, causal inference, experimentation, model deployment, distributed computing (Spark, Hadoop), quantitative degree
Technologies
SQL, Python, R, Spark, Hadoop, AI tools
Responsibilities
Analyze data to optimize systems and support strategic business decisions; Build and deploy machine learning and statistical models; Run experiments and design causal inference studies; Communicate complex analyses into actionable recommendations; Manage multiple projects with high attention to detail.
Seniority
Mid-to-Senior (3-8 years experience depending on degree)
