Senior Data Scientist, Risk and Fraud Management, Growth Alliance
Core
Build, deploy, and maintain machine learning models to prevent payment and voucher fraud while enabling business growth through intelligent risk assessment for HelloFresh's subscription model.
Role type
Senior IC machine-learning engineer (fraud/risk)
Builds
Real-time fraud detection systems and offline batch inference models for subscription fulfillment
Domain
E-commerce / Fintech / Fraud Detection
Deliverable
production ML models
Required skills
classification models, regression models, uplift modeling, imbalanced dataset handling, real-time model inference, A/B testing, Python (Numpy, Pandas, Scikit-learn, XGBoost, LightGBM), Spark/PySpark, AWS SageMaker, workflow orchestration (Airflow/Prefect), feature stores
Preferred skills
Generative AI tools, Tecton
Responsibilities
Design and implement classification, regression, and uplift models; monitor model performance and detect anomalies; collaborate with cross-functional teams; drive experiments to measure business impact; utilize Generative AI tools to accelerate development
Seniority
Senior, hands-on IC
