AI Data Scientist – Indianapolis Health
Indianapolis, Indiana, United States
USD 78K-126K Entry-level Full Time
Tasks
- Benchmark models and produce structured model summaries
- Build governed solutions for generative AI and LLMs
- Build scalable data pipelines with quality controls
- Collaborate with domain SMEs to translate requirements
- Create dashboards for triage and KPI tracking
- Design prompts and retrieval augmented generation
- Develop interpretable defensible machine learning models
- Draft technical proposal sections and participate in demos
- Enhance production AI and analytics platforms
- Ensure reproducibility logging and documentation
- Implement explainable feature attribution
- Monitor model performance and detect drift
- Orchestrate agentic workflows with evaluation and guardrails
- Tune thresholds and define acceptance metrics
Perks/Benefits
- 401k matching
- Adoption Assistance and Fertility Assistance
- Employee assistance program
- Flexible spending accounts
- Health, dental, vision insurance
- Holidays
- Life insurance and AD&D
- Long-term disability
- Paid parental leave
- Paid time off
- Profit sharing
- Short-term disability
Skills/Tech-stack
API Integration | Anomaly Detection | Automated testing | CI/CD | Dashboards | Data Quality | Data Quality Validation | Databricks | Docker | Drift Detection | Evaluation | Explainable AI | Feature Engineering | Git | Infrastructure as Code | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Model Monitoring | Outlier Detection | Prompt engineering | PySpark | Python | Quality validation | RAG | Retrieval-Augmented Generation | Risk Stratification | SQL | Series analysis | Spark | Statistical modeling | Time Series | Time Series Analysis | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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