Data Scientist (All Levels)
Atlanta, GA, United States
USD 99K-113K (estimate) Senior-level Full Time
Tasks
- Apply machine learning and AI to pricing forecasting and valuation
- Build and maintain data assets and AI tools
- Build scalable analytical pipelines
- Conduct technical reviews and mentor junior staff
- Create AI enabled analytical tools and dashboards
- Create reusable AI ML frameworks and templates
- Define modeling standards validation and monitoring
- Design build deploy and monitor analytics and AI solutions
- Develop advanced analytics models
- Develop statistical and machine learning models for forecasting valuation segmentation anomaly detection
- Document code data lineage and assumptions
- Ensure model governance explainability and scalability
- Improve model performance
- Integrate models into business workflows
- Lead cross functional delivery of production AI solutions
- Perform stakeholder management and adoption planning
- Perform validation checks and drift detection
- Support audit and review requests
- Troubleshoot data issues and model failures
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Azure | Bayesian Methods | Clustering | Data Governance | Data Lineage | Databricks | Deep learning | Feature Engineering | Forecasting | Language Processing | Machine Learning | Model Explainability | Model Monitoring | Model Validation | MySQL | Natural Language | Natural Language Processing | Neural Networks | Oracle | Power BI | Python | R | SQL | SQL Server | Segmentation | Spark | Tableau | Valuation
Education
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