Senior Data Scientist
Core
Building production ML models, metrics, and experimentation infrastructure for payments performance, optimization, and fraud to govern money movement reliability.
Role type
Senior IC data scientist (payments & fraud)
Builds
Payments-health scorecard, anomaly monitoring systems, payment timing/retry strategies, and fraud risk scoring models
Domain
Fintech, payments infrastructure, fraud detection
Deliverable
production ML models
Required skills
Python, SQL, PySpark, Databricks, XGBoost, MLflow, production ML development, experiment design, causal inference, feature engineering for transactional data, payment rails knowledge (ACH, RTP, card, interchange)
Preferred skills
Cross-functional roadmap shaping, observability tooling (Datadog)
Technologies
Python, SQL, PySpark, Databricks, Datadog, MLOps tooling
Responsibilities
Define and build the payments-health scorecard; monitor anomalies at channel and experiment level; design payment timing and retry strategies; develop fraud risk scoring models; partner with Engineering, Product, and Risk on payment strategy
Seniority
Senior, hands-on IC
