Senior Data Scientist
Tasks
- Apply statistical and epidemiologic methods to identify trends associations and causal drivers
- Conduct experimental and quasi experimental analysis with documented assumptions
- Contribute to peer reviewed publications and present findings
- Design and execute statistical analyses balancing rigor and business feasibility
- Document methodologies findings and interpretations for transparency and reproducibility
- Improve quality metrics patient outcomes and provider experience
- Partner with utilization management and care management teams to streamline workflows
- Prepare technical reports summaries and quantitative analyses
- Translate complex analyses into actionable insights for non technical audiences
Perks/Benefits
- 401k retirement savings
- Life insurance
- Medical, dental, and vision benefits
- Paid parental and caregiver leave
- Remote work flexibility
- Short-term and long-term disability
- Time off
Skills/Tech-stack
Causal Inference | Communication | Data Analysis | Data Documentation | Epidemiology | Experimental Design | Experimental Methods | Python | Quasi Experimental | Quasi-experimental methods | R | Research evaluation | Responsible AI | Statistical modeling | Statistics
Education
Roles
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