Senior Data Scientist
Tasks
- Build production Python code
- Deploy models to production
- Develop deploy data science modules
- Develop deploy maintain forecasting models
- Lead data science team
- Lead prioritization product enhancements
- Manage automated cloud pipelines
- Modernize forecasting methodologies
- Optimize model performance diagnostics
- Own category forecasting engine
- Partner with demand planners
- Perform model validation accuracy bias assessment
- Provide technical direction and coaching
- Validate refine forecast outputs
Perks/Benefits
- Defined contribution retirement plan
- Dental insurance
- Disability insurance
- Employee Assistance Program (EAP)
- Group Legal Insurance
- Health insurance
- Life insurance
- Paid bereavement leave
- Paid parental leave
- Paid sick leave
- Paid vacation
- Vision insurance
Skills/Tech-stack
Automated Pipelines | Azure | Code Quality | Data Governance | Forecasting | Machine Learning | Model Deployment | Model Validation | Performance diagnostics | Predictive Modeling | Production Code | Python | Scenario Simulation | Series forecasting | Statistical modeling | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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