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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