Data Scientist III
Tasks
- Apply prompt engineering and LLM orchestration
- Build and deploy machine learning models
- Collaborate with clinical stakeholders to define objectives
- Communicate analytical trade-offs
- Conduct statistical analysis on clinical datasets
- Design predictive modeling solutions
- Develop clinical analytics pipelines
- Ensure versioning documentation and maintainability
- Implement AI and GenAI solutions
- Implement MLOps and GitOps practices
- Perform exploratory data analysis
- Present findings using visualizations
- Use Spark for big data processing
- Use cloud platforms for model deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AI | AWS | Agentic AI | Airflow | Autogen | Azure | Cloud Computing | Clustering | Dagster | Data Analysis | Data Governance | Data pipeline | Experimental Design | Exploratory Data Analysis | Generative AI | GitHub | GitOps | HIPAA | Hypothesis Testing | Kedro | LLM orchestration | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Monte Carlo | Monte Carlo Simulation | OpenAI Agents | Prompt engineering | PySpark | Python | R | RAG | Regression | Series forecasting | Spark | Survival analysis | Time Series | Time Series Forecasting | Version control
Education
Roles
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