Senior Data Scientist
United States - Remote
R
USD 149K-210K (estimate) Senior-level Full Time
Tasks
- Build LLM-powered applications
- Build RAG pipelines
- Build machine learning models
- Deploy machine learning models
- Design machine learning models
- Develop clinical prediction analytics
- Develop population health analytics
- Manage model documentation and best practices
- Mentor client counterparts
- Monitor machine learning models
- Optimize operations analytics
- Perform prompt engineering
- Translate analytics into actionable insights
- Validate machine learning models
Perks/Benefits
- 401k retirement plan
- Charitable giving to causes you believe in
- Dependent Health Savings Accounts
- Health care plan
- Life insurance
- Long-term disability
- Paid time off
- Remote and independent work environment
- Short-term disability
- Training and development fund
- Work from home
Skills/Tech-stack
AWS | Azure ML | BigQuery | CI/CD | Claims data | Classification | Clinical data | Clinical trial | Clinical trial matching | Clustering | Cohort identification | Continuous Monitoring | Data Factory | Data Visualization | Databricks | Determinants of Health | EHR data | Embeddings | FHIR | Fine Tuning | GCP | HL7 | Health Analytics | LLM APIs | LLM Evaluation | Looker | MLOps | MLflow | Machine Learning | Model versioning | NumPy | Outcomes Research | Pandas | Population Health | Population health analytics | Power BI | Prompt engineering | Python | RAG | Redshift | Regression | Risk Stratification | S3 | SQL | SageMaker | Scikit-learn | Series forecasting | Snowflake | Social determinants of health | Synapse Analytics | Tableau | Time Series | Time Series Forecasting | Vector Databases | Vertex AI
Education
Roles
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