Job to be done we are the best way to get better
Company overview buoy builds a digital health tool that helps people – from the moment they get sick – start their health care on the right footStarted 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 we’ve all faced when we attempt to self-diagnose our symptoms onlineBuoy 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 betterBuoy is based in boston and was founded in 2014.
Description as a data science co-op, your core responsibility is to leverage buoy data to solve problems intelligently and creativelyYou will work alongside buoy’s data science engineers, machine learning scientists, analysts, and data engineers to build new datasets, machine learning models, and services to support next-generation buoy products and experiencesYou will communicate insights about user behavior, system behavior, data quality, and data completeness to different teams across the companyTo be successful, you must have a keen interest in data-driven decision making and helping people make better decisions about their health.
Responsibilities - create datasets and analyses, and generate insights and new hypotheses from buoy's data - design, formulate, validate, and clearly document machine learning experiments to test models and solutions - take a machine learning project from conception to reality, creating an api endpoint serving a predictive model that could be used live on our website or for internal efficiencies- collaborate closely with the data team, as well as our clinical and product team to understand the business goals and requirements of projects
- bs or graduate degree in computer science, statistics, mathematics, or a field related to data science and analytics, or a current concentration in data science
- experience in one or more of the following areas: reinforcement learning, deep learning / artificial neural networks, recommendation systems, or generative adversarial network, and natural language processing - experience with one or more programming languages used for machine learning, preferably pythonBonus points for experience with pytorch - good written, spoken, and visual communication skills
Equal opportunity employer statement: at buoy, we are united by our commitment in guiding people to the right careAnd we believe it takes a workforce that nurtures difference to get the job doneBuoy champions inclusionWe encourage applicants of all ages, races, ethnicities, colors, national origins, genders, gender identities and gender presentations, sexual orientations, disabilities, veteran status, and other characteristics that make a person uniqueWe are proud to be an equal opportunity employer, and to be a part of a team that prioritizes diverse points of view.
This role is currently only available to northeastern graduate students located in maine