Senior Data Scientist
United States - Remote
R
USD 165K-210K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering
- Build LLM-powered applications
- Build and deploy AI-powered applications
- Build retrieval-augmented generation pipelines
- Conduct experiment tracking with MLflow
- Design machine learning models
- Develop analytics for clinical prediction
- Develop analytics for population health
- Document best practices and scalable frameworks
- Enable research workflows
- Establish continuous monitoring
- Extract and manipulate data with SQL
- Implement MLOps workflows
- Mentor client counterparts
- Monitor deployed models
- Optimize operations with analytics
- Perform exploratory analysis
- Perform feature engineering
- Present insights to non-technical stakeholders
- Validate machine learning models
- Work with EHRs claims and clinical registries
Perks/Benefits
- 401k
- Charitable Giving to Causes
- Dental & vision insurance
- Dependent Health Savings Accounts
- Health insurance
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
- Training and development fund
- Work from home
Skills/Tech-stack
AWS | Azure ML | BigQuery | CI/CD | Claims data | Classification | Clustering | Continuous Monitoring | Data Factory | Data Visualization | Databricks | Determinants of Health | EHR | Embeddings | Fine Tuning | GCP | HL7 FHIR | Health Analytics | LLM APIs | LLM Evaluation | Looker | MLOps | MLflow | Machine Learning | Model versioning | NumPy | Pandas | Population Health | Population health analytics | Power BI | Prompt engineering | Python | RAG | Redshift | Regression | Retrieval-Augmented Generation | Risk Stratification | S3 | SQL | SageMaker | Scikit-learn | Series forecasting | Snowflake | Social determinants of health | Statistical modeling | Synapse | Tableau | Time Series | Time Series Forecasting | Vector Databases | Vertex AI
Education
Roles
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