Buoy Health
Boston
51-200 employees
AI-driven digital assistant that helps people self-diagnose and get the right care at the right time.
Other Open Roles
Prior Listings
Senior Data Science Engineer I
Senior Data Science Engineer I
This job is no longer open
Job to be done:
We’re the best way to get better.
About Buoy Health:
Buoy is a Boston-based digital health company that uses AI technology to provide personalized clinical support the moment an individual has a health concern. Developed out of the Harvard Innovation Labs by a team of doctors and data scientists, Buoy navigates people through the healthcare system intelligently, delivering triage at scale, and connecting them with the right care endpoints at the right time based on self-reported symptoms.
About the role:
As a Senior Data Science Engineer I, your core responsibility is to work with the rest of the DataScience team to leverage Buoy data to solve problems intelligently and creatively. You will collaborate 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 and bring engineering rigor to those processes. 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 Buoy’s’ core products
- Follow processes and best practices for model testability, CI/CD, and active monitoring of model performance
- Collaborate with Buoy’s clinical and product teams and the rest of the Data Science team to ensure your projects meet our stakeholders needs and improve Buoy’s user experience
- Carefully document your work for maintainability and reproducibility
- Seek out areas of innovation, formulate research hypotheses, rapidly prototype new models, and deploy predictive models as services in a production environment
About you:
- Have 2+ years of professional experience as a machine learning engineer, data scientist, or data science engineer
- Have deep knowledge in one or more of the following areas: reinforcement learning, deep learning for tabular data, recommendation systems, generative adversarial network, or natural language processing
- Have experience with one or more programming languages used for machine learning, preferably Python
- Have experience with cloud computing in AWS and Kubernetes
- Have excellent written, spoken, and visual communication skills
- Are excited about continuously learning and growing as a data professional - Are excited about working on a variety of machine learning problems and across sub-disciplines
- Experience bringing machine learning models into a production environment
- Experience with healthcare data, including claims or electronic medical records
- Experience with PyTorch for deep learning
- Experience rapidly prototyping new models and ML projects
- Experience using object-relational model backends like Django
- Experience working with data warehouses like Snowflake
Bonus points if you have:
Benefits:
- Medical, dental, and vision
- 401k with company match
- Stock options
- Generous unlimited vacation policy
- L&D reimbursement policy
- Work from Wherever—Buoy is remote first, with employees located across the US
- Time off for major holidays, including the last two weeks of the year
- End your work day at 2 p.m. every Friday!
- Dogs in the office!
Equal Opportunity Employer Statement:
At Buoy, we are united by our commitment in guiding people to the right care. And we believe it takes a workforce that nurtures difference to get the job done. Buoy champions inclusion. We 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 unique. We 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 located in the United States. Unfortunately, we are unable to support international applicants at this time
This job is no longer open