Operations Modeling Data Scientist (System Application Analyst, Sr)
Tasks
- Apply SDLC for project delivery
- Build predictive forecasting and optimization models
- Collaborate with ETL engineers for data pipelines
- Configure model outputs for dashboards and databases
- Create scalable reliable model code
- Deliver business intelligence products
- Design data reporting for model results
- Design test plans and testing schedules
- Develop advanced analytics products
- Develop application and workflow specifications
- Develop model dashboards and interfaces
- Ensure data integrity and model validity
- Manage project timelines, risks, and milestones
- Perform regression time series survival and AI modeling
Perks/Benefits
Skills/Tech-stack
ARIMA | Databricks | Econometrics | Git | MLflow | Machine Learningflow | Matplotlib | Microsoft Fabric | NumPy | Pandas | Power BI | Predictive Modeling | PySpark | Python | R | Scikit-learn | Series forecasting | Simulation Modeling | Survival analysis | Tableau | Time Series | Time Series Forecasting | Time to Event
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science
Roles
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