Data Scientist, NA
Tasks
- Align analytical models with enterprise data architecture and governance
- Build scalable machine learning pipelines
- Define data requirements for data engineering and governance
- Deploy models into production environments
- Develop predictive and prescriptive models for forecasting and optimization
- Ensure model governance version control documentation reproducibility
- Establish KPI validation frameworks for model performance
- Implement automation for operational processes
- Integrate models into operational workflows
- Partner with data engineering to support pipeline accuracy
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Health insurance
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
- Training and development
- Vision insurance
Skills/Tech-stack
Anomaly Detection | Azure | Data Engineering | Data Governance | Data Visualization | Databricks | Lifecycle Management | Machine Learning | Model Lifecycle | Model Lifecycle Management | Optimization Algorithms | Predictive Modeling | PyTorch | Python | SQL | Scikit-learn | Series analysis | Series forecasting | Statistical Analysis | TensorFlow | Time Series | Time Series Analysis | Time Series Forecasting | Version control
Education
Roles
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