Lead Data Scientist - Receive Risk
Core
Lead the development and deployment of machine learning models to improve how customers receive and add money, focusing on risk mitigation and operational decision-making.
Role type
Lead Data Scientist (Receive/Risk)
Builds
Production-grade ML models, scalable data pipelines, and decisioning systems for the Receive product.
Domain
Fintech / International Payments / Risk Management
Deliverable
production ML models
Required skills
Python, SQL, Hadoop, Spark, Machine Learning, Anomaly Detection, Statistical Analysis, Feature Engineering, Model Monitoring, Experiment Design
Preferred skills
MLOps tools (Airflow, MLflow, AWS SageMaker), Fraud detection, LLM-based solutions, Java code review
Technologies
Python, SQL, Hadoop, Spark, Git, AWS (S3, EMR, SageMaker), Airflow, MLflow, CI/CD
Responsibilities
Lead development and deployment of ML models for Receive product performance; Analyze large volumes of customer and transaction data; Design and implement experiments for product changes; Build scalable modelling approaches for risk management; Collaborate with cross-functional teams to translate business requirements; Develop robust data pipelines and tools for production-grade modelling.
Seniority
Lead, hands-on IC with mentorship responsibilities
