ML Engineer

at  Oak Street Health

COMPANY DESCRIPTION

Oak Street Health is a rapidly growing company of primary care centers for adults on Medicare in medically-underserved communities where there is little to no quality healthcare. Oak Street’s care is based on an entirely new model that is based on value for its patients, not on volume of services. The company is accountable for its patients’ health, spending more than twice as long with its patients and taking on the risks and costs of their care. For more information, visit http://www.oakstreethealth.com.

WHAT WE’RE LOOKING FOR

We’re looking for motivated, entrepreneurial individuals with:
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2+ years working with data field especially clinical or medical data

• Strong background in the foundations machine learning and model serving
• Excellent command and productional experience with Python
• Ability to scale a data scientist’s code into production-ready packages integrated into core OSH services
• Demonstrated ability to delivery date engineering pipelines
• A degree in Computer Science, Mathematics, Statistics, or another quantitative discipline
• Strong communication and interpersonal skills with the ability to delivery complex topics to all familiarity levels
• An ability to independently pursue and implement solutions to complex problems
• US work authorization
• Someone who embodies being “Oaky”

ROLE DESCRIPTION

Oak Street Health is looking for a machine learning engineer to support our extensive production modeling efforts. You will design, develop, test and expand Oak Streets Health’s internal tools that enable our Data Science teams to seamlessly build, deploy and monitor models. You will leverage both your programming and problem-solving skills to improve our model building and hosting pipelines. Oak Street Health has built a world-class risk stratification tool to empower optimal clinical outcomes and you will have the opportunity to contribute to its continued growth through writing production-quality code.

RESPONSIBILITIES

• Execute on the technical design, development, and implementation of machine learning pipelines and feature development
• Execute on a strategy to assess and monitor the health of our production modeling infrastructure and outputs.
• Partner with Product, Development, and Business partners to deploy machine learning models that are effective and efficient at addressing OSH operational needs
• Support full lifecycle MLOps from external data integration, model scaling, to prediction quality assurance
• Other duties as assigned