Location: Austin, TX
Employment Type: Full-time
Team: Data Science
OUR MISSION
At Artemis Health, we are dedicated to helping fix the broken health care system by empowering U.S. employers and their advisors to optimize health benefits using data. We offer the most innovative and easy-to-use benefits analytics technology on the market today. More than 9 million employees and their families are receiving better, more affordable healthcare because their employers are leveraging insights from Artemis. Together we can bring America's runaway healthcare costs more in line with the rest of the world.
OUR CULTURE
Artemis is committed to being compassionate and caring in the way we treat our customers and our employees. We work hard at what we do because we know we are making a difference in the lives of the people we work with. We take ownership in what we do, and we are transparent with our team members as well as our customers. We are committed to fostering, cultivating and maintaining a culture of diversity, equity, and inclusion not because we have to, but because we understand it makes us better. We are building a team in which diversity is valued, equity is striven for, and inclusion is embraced.
WHO YOU ARE
Artemis Health is looking for a Sr. Data Scientist. Your primary focus will be on researching and developing rapid solutions to drive action around improving quality, reducing cost and delivering next best actions to consumers. We expect you to attack problems with intention and intensity, fail quickly, and communicate clearly. Our one-team-one-dream approach will empower you to partner with other teams to bring data science use cases into our analytics platform. We are looking for people who thrive solving ambiguous problems and enjoy charting new paths forward with creative solutions. If all of that sounds like you, then based on your skills and experiences, you can join us as a Sr. Data Scientist.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Bachelor's and an advance degree in a STEM field
Expertise or experience analyzing healthcare cost, utilization, clinical data
Experience in data engineering, model deployment systems, CI/CD, etc.
Industry publications, white papers or presentations
Experience or strong interest in providing mentorship to junior data scientists
Physical requirements for the role:
Incumbents must be able to work in an hybrid environment. Job may work on weekends, nights, holidays and on-call basis.