Staff Data Scientist - Fraud & Risk
Tasks
- Build and optimize machine learning models
- Collaborate with product engineering and risk teams
- Deploy and monitor models in production
- Design deep learning models
- Engineer features and train models
- Evaluate models
- Lead end to end machine learning lifecycle
- Mentor data scientists
- Monitor data quality and escalate issues
- Present findings to stakeholders
- Research new data sources and algorithms
- Stay current with machine learning advancements
Perks/Benefits
- N/A
Skills/Tech-stack
Convolutional Neural Networks | Data Pipelines | Deep learning | Feature Engineering | Graph Neural Networks | LLM | Language Processing | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | Real Time | Real-time Inference | Recurrent Neural Networks | SQL | Scikit-learn | TensorFlow | Transformers
Education
Roles
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