Principal Data Scientist
Tasks
- Align customer business priorities with data science strategy
- Create reusable reference approaches for model operationalization
- Define data readiness strategy for modeling and operationalization
- Design evaluation frameworks for business impact and responsible AI
- Develop strategic roadmaps for data science and AI solutions
- Establish modeling strategies and methodological standards
- Guide adoption of MLOps patterns and deployment practices
- Provide technical leadership for code quality and debugging
- Serve as trusted advisor to senior customer and executive stakeholders
- Translate ambiguous business problems into data science approaches
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Azure Machine Learning | Bias Variance | Bias-Variance Tradeoff | CI/CD | Classification | Clustering | Computer Vision | Delta Lake | Docker | Evaluation | Experimentation | Feature Engineering | Forecasting | KQL | Language Processing | MLOps | MLflow | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Optimization | Python | R | REST API | Regression | Regularization | Statistics | T-SQL
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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