Senior Machine Learning Data Scientist
Tasks
- Collaborate on deployment and production infrastructure
- Define fraud strategies with product and engineering
- Detect data drift and trigger retraining
- Develop machine learning models for fraud detection
- Engineer features for fraud modeling
- Evaluate and document models
- Monitor model quality and performance in production
- Own machine learning model lifecycle
- Partner with teams to implement continuous experimentation
- Translate fraud patterns into scalable machine learning solutions
Perks/Benefits
Skills/Tech-stack
AWS | Data Drift | Feature Engineering | Gradient boosting | Machine Learning | Model Cards | Model Evaluation | Model Monitoring | PyTorch | Python | SQL | Scikit-learn | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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