Senior Data Scientist
Tasks
- Build machine learning models
- Communicate insights to non-technical audiences
- Create executive level data visualizations
- Design advanced analytical solutions
- Develop and maintain data pipelines
- Manage MLOps workflows
- Mentor teams and enforce standards
- Monitor model drift and retraining
- Optimize model training with big data platforms
- Scale machine learning models for production
- Track machine learning experiments
- Translate technical decisions to business objectives
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | Apache Spark | Azure Machine Learning | Causal Inference | Data Visualization | Databricks | Databricks ML | Deployment | Drift management | Experimental Design | Google Vertex | Google Vertex AI | MLOps | MLflow | Machine Learning | Model Registry | Monitoring | NumPy | Pandas | PyTorch | Python | Retraining | SQL | Scikit-learn | Statistics | TensorFlow | Vertex AI | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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