Principal Data Scientist
Tasks
- Apply machine learning and statistical models
- Apply optimization methods for operational planning
- Build deploy and support production analytical pipelines
- Collaborate with engineering and data teams
- Define model deployment monitoring and maintenance processes
- Design and develop analytical models
- Develop decision support solutions for planning and scheduling
- Frame complex problems into structured analytical solutions
- Integrate models into systems and workflows
- Monitor model performance and data quality
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Cloud Computing | Data Quality | Data quality monitoring | Heuristics | Integer Programming | Lifecycle Management | Linear Programming | MLOps | Machine Learning | Mixed Integer | Mixed-Integer Programming | Model Lifecycle | Model Lifecycle Management | Optimization | Python | Quality monitoring | Simulation | Statistics | System Modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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