Principal Data Scientist
Tasks
- Analyze experimental data
- Build and deploy machine learning models
- Collaborate with engineers and product teams
- Design machine learning models
- Document methodologies and results
- Engineer data pipelines
- Ensure responsible data handling and compliance
- Operationalize models in production
- Optimize pipeline performance and scalability
- Validate and improve model accuracy
Perks/Benefits
Skills/Tech-stack
Cloud deployment | Data Cleansing | Data Pipelines | Data Wrangling | Distributed Computing | ETL | Feature Engineering | Machine Learning | Model Validation | Pandas | PyTorch | Python | Scikit-learn | TensorFlow
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
Regions
Countries
States
Cities
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