Staff Data Scientist (Insurance Risk and Pricing)
US WA Remote - Non Seattle, United States
R
USD 168K-236K Senior-level Full Time
Tasks
- Architect and deploy GLM based pricing models
- Build machine learning models for underwriting accuracy and profitability
- Develop ensemble models for profitability and retention
- Develop file and monitor predictive models for regulatory compliance
- Evaluate generative AI and LLM opportunities for experimentation
- Model customer lifetime value for marketing and underwriting
- Provide technical oversight and mentorship
- Quantify localized risk using non traditional data
- Run deployment practices including A B testing and monitoring
- Scope data science initiatives and integrate solutions into workflows
- Set technical vision for insurance pricing and risk modeling
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Fitness and discount programs
- Flexible spending accounts
- Health insurance
- Health savings account
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid sick time
- Paid vacation
- Remote work
- Travel assistance
- Vision insurance
- Wellbeing program
Skills/Tech-stack
A/B | A/B Testing | B testing | BigQuery | Causal Inference | Confluence | Data Analysis | Ensemble learning | Experiment design | Fine Tuning | GCP | Generalized Linear Models | Generative AI | Geospatial analysis | Gradient boosting | Jira | Language Models | Large Language Models | LightGBM | Linear Models | MLOps | Machine Learning | Model Governance | Model Monitoring | Model Training | Model Validation | Model training pipelines | Model versioning | Neural Networks | Prompt engineering | Python | Regulatory Compliance | SQL | Scikit-learn | Spatial Data Analysis | Spatial data | StatsModels | Training pipelines | XGBoost
Education
Roles
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