Sr. Data Scientist (Urology)
Tasks
- Build machine learning and simulation models
- Clean and assess data quality and bias
- Collaborate with cross-functional teams
- Communicate insights to technical and non-technical stakeholders
- Design data modeling processes
- Develop production level machine learning codebase
- Document and train teams on methods and tools
- Implement machine learning pipelines
- Lead identification of datasets for modeling
- Maintain version control for code
- Research state of the art modeling methodologies
- Train models using multi modal datasets
Perks/Benefits
Skills/Tech-stack
ATE | CATE | CICD | Causal Estimation | Causal Inference | Causal Machine Learning | CausalML | Classification | Data Modeling | Data Pipelines | Data Visualization | Diffusion Models | Double Machine Learning | Git | LightGBM | MLOps | Machine Learning | Model Deployment | Neural Networks | PyTorch | Python | Regression | Statistical modeling | Transformers | XGBoost
Education
Roles
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