Senior Data Scientist
Tasks
- Apply MLOps and GitOps practices
- Apply prompt engineering
- Build data and analytics pipelines
- Collaborate with clinical stakeholders on hypotheses
- Conduct statistical analysis
- Design predictive modeling solutions
- Develop & deploy machine learning models
- Implement LLM and RAG solutions
- Perform exploratory data analysis
- Present findings with visualizations
- Review code and support junior data scientists
- Translate data into actionable insights
- Use cloud and big data platforms at scale
- Version and document models and pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Airflow | Apache Spark | Artificial Intelligence | Autogen | Azure | Clustering | Dagster | Data Analysis | Data Pipelines | Exploratory Data Analysis | GitHub | GitOps | HIPAA | Kedro | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Explainability | Monte Carlo | Monte Carlo Simulation | OpenAI Agents | Orchestration | Prompt engineering | PySpark | Python | R | Regression | Retrieval-Augmented Generation | Series forecasting | Survival analysis | Time Series | Time Series Forecasting | XAI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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