Principal Data Scientist
USD 185K-215K Senior-level Full Time
Tasks
- Build reproducible data science pipelines
- Communicate methods and findings to technical and non technical audiences
- Define problem framing and data strategy
- Design LLM assistants and retrieval workflows
- Develop predictive and descriptive patient models
- Evaluate and adopt emerging ML methods
- Implement generative AI analytics solutions
- Lead analytics lifecycle
- Mentor data scientists and engineers
- Operationalize AI applications with MLOps
- Partner with cross functional teams on analytical approaches
- Review code and modeling approaches
- Validate and monitor models
Perks/Benefits
Skills/Tech-stack
AWS Lambda | Agent Orchestration | Amazon Web Services | Apache Spark | CI/CD | Causal Inference | Databricks | Delta Lake | Experiment tracking | Git | LLM APIs | Language Processing | Longitudinal Modeling | MLflow | Microsoft Azure | Model Monitoring | Natural Language | Natural Language Processing | Prompt engineering | Propensity scoring | PyTorch | Python | R | Retrieval-Augmented Generation | SQL | Scikit-learn | Snowflake | Survival analysis | TensorFlow | Vector Search | Web Services | XGBoost
Education
Bachelor of Science | Master of Engineering | Master of Science
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
Regions
Countries
States
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