Data Science Analyst II
Tasks
- Automate recurring reports
- Build automated ETL pipelines
- Build predictive machine learning models
- Deploy and monitor models for drift
- Develop dashboards and interactive reporting
- Ensure HIPAA and security compliance
- Integrate structured and unstructured data
- Lead analytics initiatives from planning to implementation
- Maintain KPI and enterprise reporting standards
- Manage project milestones and communicate status
- Mentor junior analysts and promote best practices
- Perform feature engineering and model evaluation
- Recommend model improvements and remediation
- Tune hyperparameters and monitor performance
- Validate and reconcile data quality
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Anomaly Detection | Azure | Cloud Computing | Dashboards | Data Drift | Data Modeling | Data Quality | Data Validation | ETL | FHIR | Feature Engineering | Forecasting | Google Cloud | HIPAA | HL7 | Hyperparameter Tuning | MLOps | Machine Learning | Model Evaluation | OMOP | Predictive Analytics | Python | Reporting | SQL | Statistics
Education
Master of Engineering | Master of Science | Master of Science in Computer Science | Master of Science in Data Science | Master of Science in Health Informatics | Master of Science in Statistics | PhD
Roles
Analyst | Data Analyst | Data Science | Data Science Analyst
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