Senior Data Scientist
US - California - Thousand Oaks - Field/Remote, United States
R
USD 134K-181K Senior-level Full Time
Tasks
- Build Bayesian statistical models
- Build machine learning models
- Conduct scenario analysis
- Deploy models
- Develop forecasting models
- Engineer features
- Monitor model performance
- Perform causal inference
- Perform model explainability
- Research forecasting tools and methodologies
- Run simulation analysis
Perks/Benefits
- Career development
- Comprehensive health insurance
- Dental insurance
- Disability insurance
- Discretionary bonus
- Flexible work hours
- Hybrid work
- Life insurance
- Paid time off
- Remote work
- Retirement plan
- Stock-based incentives
- Vision insurance
Skills/Tech-stack
Bayesian Modeling | Causal Inference | Decision Science | Feature Engineering | High dimensional clustering | Latent variable modeling | Machine Learning | Model Deployment | Model Monitoring | Predictive Modeling | Probabilistic Programming | PyTorch | Pymc | Python | SQL | Scikit-learn | Series forecasting | Statistical modeling | TensorFlow | Time Series | Time Series Forecasting
Education
Associate Degree | Bachelor of Science | High School Diploma | Master of Science | PhD
Roles
Regions
Countries
States
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