Principal Applied Scientist
Tasks
- Build model evaluation pipelines
- Detect anomalies in financial and operational data
- Develop model governance and model risk management processes
- Ensure HIPAA compliance for healthcare data
- Ensure financial data quality assurance
- Integrate models with deployment pipelines and monitoring frameworks
- Lead development of advanced statistical and machine learning models
- Own end to end machine learning initiatives from problem definition to deployment
- Perform financial forecasting and risk scoring
- Track model performance and detect drift
- Write production ready code for data and ML solutions
Perks/Benefits
- 401k match
- Employee assistance program
- Flexible schedule
- Medical/Dental/Vision insurance
- Paid parental leave
- Paid time off
- Tuition reimbursement
Skills/Tech-stack
Anomaly Detection | Cloud Computing | Data Quality | Data quality assurance | Deep learning | Drift Detection | Financial Forecasting | Generative AI | Langchain | Machine Learning | Model Evaluation | Model Explainability | Model Governance | Model Risk Management | Model risk | PyTorch | Python | Quality Assurance | Risk Management | Risk Modeling | Series analysis | Statistical modeling | TensorFlow | TensorFlow Serving | Time Series | Time Series Analysis
Education
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