Data Scientist I
Tasks
- Acquire and manage large scale datasets
- Apply machine learning for classification clustering predictive modeling
- Apply responsible AI with bias privacy validity and reproducibility
- Automate data processing tasks
- Build reproducible version controlled workflows
- Collaborate on analytic plans and research questions
- Communicate insights for researchers clinicians and policymakers
- Design and implement statistical and quasi experimental analyses
- Develop high quality visualizations and dashboards
- Develop reproducible data ingestion cleaning transformation pipelines
- Document data provenance transformations and analytic decisions
- Ensure HIPAA compliance and secure data environments
- Evaluate model performance and ensure interpretability
- Implement scalable workflows for longitudinal multi source data
- Leverage AI tools for NLP and large language model automation
- Maintain documentation for analytic transparency
- Prepare figures tables and analytic summaries for publications
- Validate and audit data quality
- Write well documented code in R Python SAS and SQL
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Classification | Clustering | Data Auditing | Data Governance | Data Validation | Difference-in-differences | Git | HIPAA | Language Models | Large Language Models | Machine Learning | NLP | Predictive Modeling | Python | R | Regression | SAS | SQL | Survival analysis
Education
Roles
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