Lead Data Scientist
Company Name:-
Buoy Health
Job Location:-
New York, NY
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionJob to be done
Were the best way to get better.
About Buoy Health:
Buoy builds a digital health tool that helps people from the moment they get sick start their health care on the right foot.
Started by a team of doctors and computer scientists working at the Harvard Innovation Laboratory in Boston MA, Buoy was developed in direct response to the downward spiral weve all faced when we attempt to self-diagnose our symptoms online.
Buoy leverages artificial intelligence powered by advanced machine learning and proprietary data – to resemble an exchange you would have with your favorite doctor to provide consumers with a real-time, accurate analysis of their symptoms and help them easily and quickly embark on the right path to getting better.
Buoy is based in Boston and was founded in 2014.
About the role:
As a Lead Data Scientist, your core responsibility is to leverage Buoy data to solve problems intelligently and creatively.
You will work with Buoy’s product and medical teams to improve the accuracy and efficacy of Buoy’s clinical and care recommendation AI.
You will apply both classical and modern machine learning techniques.
You will formulate hypotheses and design experiments to evaluate them.
You will develop, specify, and implement validation methods that scale.
You will communicate insights about user behavior, agent behavior, data quality, and data completeness to different teams across the company.
To be successful, you must have a keen interest in data-driven decision making and helping people make better decisions about their health.
Responsibilities:
– Plan and execute on the delivery of scalable machine learning pipelines to support Buoys core products
– Ensure models running in production are testable and well-monitored- Mentor analysts, data scientists, and other engineers in subjects pertaining to data science and machine learning
– Work closely with product and clinician teams to plan projects and structure work in an Agile development process
– Identify areas of innovation, formulate research hypotheses, and rapidly prototype new models
– Design, formulate, validate, and clearly document experiments to test models and solutions
Abo
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