Data Scientist designing and delivering analytical models for casualty catastrophe risks in Boston or Jersey City.
About the role
- Data Scientist developing disease modeling using statistical and machine learning techniques at a healthcare AI company. Collaborating with teams to ensure data-driven solutions and accuracy of models.
Responsibilities
- Develop disease population modeling pipelines using rigorous statistical and machine learning approaches
- Develop statistically and epidemiological rigorous approaches to measure the success of an experiment in a population
- Use SQL and Python to write accurate, understandable, and reproducible methods
- Collaborate with solutions and product teams to translate business needs into data-driven solutions
Requirements
- PhD in Data Science, Statistics, Epidemiology, Applied Math, Computer Science, or related field (or equivalent practical experience)
- 2+ years experience with complex statistics and machine learning models
- Strong proficiency in SQL and Python
- Strong proficiency in statistical and machine learning fundamentals
- Excellent oral and written communication
Benefits
- Competitive salary + significant equity
- Gain hands-on experience at a fast-growing company, with clear opportunities for career growth
- Work alongside top-tier engineers, data scientists, and privacy experts
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