Lead Data Scientist - Recieve Risk
Core
Lead the development and deployment of machine learning models to improve how customers receive and add money, focusing on risk mitigation and scalable data science capabilities.
Role type
Lead Data Scientist (Payments/Risk)
Builds
Production-grade ML models, data pipelines, and decisioning systems for the Receive product
Domain
Fintech / International Payments / Fraud Prevention
Deliverable
production ML models
Required skills
Machine learning model development, Python, large-scale data processing (Hadoop, Spark, SQL), anomaly detection, supervised and unsupervised learning, statistical analysis, feature engineering, model monitoring
Preferred skills
MLOps tools (Airflow, MLflow, AWS SageMaker), fraud domain expertise, LLM-based solution design
Technologies
Python, Git, Java, Hadoop, Spark, SQL, AWS (SageMaker, S3, EMR), Airflow, MLflow, CI/CD
Responsibilities
Lead development and deployment of ML models for Receive product performance, analyze large volumes of transaction data to identify risks, design and implement experiments for product changes, build scalable modelling approaches, collaborate with cross-functional teams to translate requirements, develop robust data pipelines and tools
Seniority
Lead, hands-on IC with mentorship responsibilities
