Principal Engineer - Data Scientist
112265-NJ-MetroPark, Iselin, United States
USD 305K Senior-level Full Time Found 3d ago
Tasks
- Advise leadership on technological strategies and solutions
- Apply advanced ML techniques (graph neural networks sequence modeling ensemble methods autoencoders) in models evaluation and explainability
- Build and maintain real-time scoring pipelines
- Collaborate with cross-functional teams to translate business problems into models
- Contribute to model risk management and regulatory reporting
- Participate in model experimentation and testing
- Perform feature engineering on complex data sources
- Research state-of-the-art research in adversarial ML and explainable AI
Perks/Benefits
- 401k
- Adoption reimbursement
- Caregiving leave
- Commuter benefits
- Dependent scholarships
- Disability benefits
- Discounts
- Health benefits
- Life & Critical Illness Insurance
- Paid time off
- Parental leave
- Tuition reimbursement
Skills/Tech-stack
Adversarial Robustness | Anomaly Detection | Autoencoders | Bias/fairness | Bias/fairness checks | Big Data | Big Data Technologies | CatBoost | Contrastive Learning | Cybersecurity Analytics | Data Processing | Data Technologies | Ensemble Techniques | Explainability methods | Explainability methods (SHAP | Fairness checks | Feature Engineering | Graph Neural Networks | Isolation forests | Kafka | LIME | LightGBM | MLflow | Model Deployment | Model Evaluation | Model Validation | Neural Networks | PySpark | PyTorch | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Scikit-learn | Sequence Modeling | Spark Streaming | TensorFlow | Weights & Biases | XGBoost
Education
Language: en |
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