Senior Predictive Liability Analytics Lead
21650 Oxnard Street, Woodland Hills, CA, United States
USD 190K-210K Senior-level Full Time
Tasks
- Alert on model drift and bias
- Build dashboards for monitoring
- Build survival and hazard models
- Build training scoring pipelines
- Calibrate model elasticity
- Co design A B and uplift experiments
- Conduct causal inference studies
- Create features from unstructured text
- Design predictive models
- Document model story and explainability
- Generate reproducible versioned result tables
- Integrate models with projection engines
- Package and deploy models with containers
- Perform feature selection and architecture search
- Pilot generative AI for feature extraction
- Reconcile actual vs expected performance
- Run scenario stress and attribution analyses
- Serve models via batch and API
- Set retraining and rollback criteria
- Track experiments with MLflow
- Train machine learning models
- Translate model outputs into projection functions
- Version code with Git
Perks/Benefits
- 401k match
- Charitable donation matching
- Dental insurance
- Employee assistance program
- Health insurance
- Hybrid work option
- Mental health support
- Paid time off
- Vision insurance
- Volunteer time off
- Wellness initiatives
Skills/Tech-stack
AWS | Azure | CI/CD | Competing risks | Cox Proportional Hazards | DVC | Databricks | Decision Trees | Deep learning | Docker | Embeddings | Evolutionary Algorithms | Feature Selection | Generalized Additive Models | Generalized Linear Models | Genetic Algorithms | Git | Gradient boosting | Hazard models | LightGBM | Linear Models | MLflow | Machine Learning | Model Monitoring | Moody AXIS | NLP | NumPy | Pandas | Power BI | Prompt engineering | Prophet | PyTorch | Python | R | RAFM | RAG | SQL | Scikit-learn | Snowflake | Spark | Survival analysis | Tableau | TensorFlow | Transformers | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
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