Senior Manager, Data Science
Tasks
- Apply digital filtering and signal detection
- Apply explainability techniques
- Apply nested cross validation
- Build and maintain Python pipelines
- Collaborate with clinical stats engineering and product stakeholders
- Conduct imputation and feature engineering
- Develop and validate longitudinal sensor models
- Ensure reproducible experimentation documentation and codebases
- Handle within subject dynamics and missingness
- Implement deep learning with Transformers and ensembles
- Lead code reviews and technical mentorship
- Perform longitudinal mixed effects and hierarchical modeling
- Perform time series QC preprocessing and artifact removal
- Run EDA and signal characterization
- Use frequency time frequency representations
- Use leave one out evaluation
- Use out of bag evaluation
- Validate third party vendor outputs
Perks/Benefits
Skills/Tech-stack
AWS | Cross-validation | Deep learning | Digital filtering | Domain analysis | Feature Engineering | Frequency analysis | Frequency-domain analysis | Git | Hierarchical modeling | Imputation | Leave One Out | Mixed-effects | Mixed-effects models | Model Explainability | Multigpu Computing | Nested Cross Validation | Object-Oriented | Object-oriented design | Out of Bag | Parallel Computing | Parallelization | Python | Reproducible Research | Signal Processing | Time Series | Time-Frequency | Time-Frequency Analysis | Transformers
Education
Roles
Data Science | Data Science Manager | Data Scientist | Manager | Scientist | Senior Manager
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