Operations Modeling Data Scientist (System Application Analyst, Sr)
Tasks
- Build and maintain dashboards
- Build predictive forecasting and optimization models
- Collaborate with ETL engineers for efficient data use
- Configure outputs for dashboards and databases
- Create code for reliability and scalability
- Create timelines identify risks and milestones provide status reports
- Deliver business intelligence products
- Design and document applications and workflows
- Design test plans and testing schedules
- Develop advanced analytics products
- Ensure data integrity and model validity
- Forecast hospital capacity issues
- Generate model outputs for institution users
- Manage projects using SDLC
- Support simulation modeling interfaces
- Visualize and interact with model outputs
Perks/Benefits
Skills/Tech-stack
ARIMA | Data Visualization | Databricks | Git | MLflow | Matplotlib | Microsoft Fabric | NumPy | Pandas | Power BI | Predictive Analytics | PySpark | Python | R | Regression | SQL | Scikit-learn | Survival analysis | Tableau | Time Series
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science
Roles
Analyst | Data Scientist | Operations | Operations Research Analyst | Research Analyst | Scientist
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