AI Data Scientist – Indianapolis Health
Indianapolis, Indiana, United States
USD 93K-154K Senior-level Full Time Found 13d ago
Tasks
- Build document ingestion pipelines
- Build scalable data pipelines
- Collaborate with domain experts
- Create reports and presentations
- Design agentic AI workflows
- Design governed GenAI solutions
- Develop interpretable ML models
- Enhance and extend production AI platforms
- Handle healthcare data feature engineering
- Implement model monitoring and retraining strategies
- Implement model validation and testing
- Improve retrieval and grounding in AI workflows
- Manage data quality and validation practices
- Monitor model performance
- Operationalize AI results
- Perform time series and network analytics
- Support AI/ML automation workflows
- Support client workshops
- Support proposals and demos
- Translate model outputs for non-technical audiences
- Translate requirements into technical solutions
- Validate operational outcomes
Perks/Benefits
- 401k
- Dental
- Disability benefits
- Discretionary bonus
- EAP
- FSA
- Family building benefits
- Holidays
- Life insurance
- Medical
- Paid parental leave
- Paid time off
- Profit sharing
- Vision
Skills/Tech-stack
Anomaly Detection | Artificial Intelligence | Containerization | Dashboard Development | Data Engineering | Data Quality | Databricks | DevOps | Distributed Processing | Documentation | Drift Detection | Entity Resolution | Explainability | Git | Graph analytics | Language Models | Large Language Models | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Interpretability | Model Monitoring | Prompt engineering | PySpark | Python | Reproducibility | Risk Stratification | SQL | Series analysis | Spark | Time Series | Time Series Analysis | Workflow automation
Education
Roles
Language: en |
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