Principal Data Scientist
Glen Allen, VA, United States
USD 139K-255K (estimate) Senior-level Full Time
Tasks
- Build predictive modeling and statistical solutions
- Collaborate with data engineering for scalable solutions
- Communicate analytics to technical and non technical audiences
- Conduct design reviews and knowledge-sharing
- Define data science strategy
- Deploy and support models in production
- Design and develop machine learning models
- Develop and scale enterprise data science capabilities
- Drive data-driven decision-making
- Ensure reproducibility and model validation
- Evaluate data science tools and cloud platforms
- Mentor data scientists and analysts
- Monitor model performance and retrain models
- Perform feature engineering and model evaluation
- Present insights to executives and stakeholders
- Recommend MLOps and model governance practices
- Translate business problems into data science initiatives
Perks/Benefits
Skills/Tech-stack
Agile | Azure | Cloud Computing | Data Governance | Feature Engineering | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Model Validation | Model retraining | Predictive Analytics | Python | Reproducibility | Risk Management | SQL | Statistical modeling
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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