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.

WHAT YOU’LL DO:

• Extract insights at scale from complex, high-dimensional datasets to inform healthcare & benefits decisions across the domain
• Help lead identification of new problems that can be solved with data science, project design decisions, and support continuous development of existing data science solutions
• Proactively and effectively communicate with various internal stakeholders to identify opportunities & inform product design with data-driven insights
• Participate in cross-functional collaborations to facilitate communication of project status, results, & long-term plans & support delivery of high-impact data products to external clients
• Work closely with data engineering partners to support integration of high-quality & lasting solutions into our data-centric platform
• Become a multiplier for data science team by sharing work, providing mentorship to junior team members, contribute to continuous evolution of best practices, providing technical feedback, and developing work into shared team tooling
• Contribute to a culture of excellence and high standards, continuous learning and growth, collaboration, and respect

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

WHAT YOU'LL HAVE:

• 4 - 6 years of experience developing & delivering production data science solutions and clear understanding of the product development life cycle
• Proven applied experience implementing a variety of data mining & statistical methods, using a variety of big data tools, building and implementing machine learning models and algorithms
• Significant experience with standard data science coding languages and tools such as Python, R, SQL, Git, SQL/NoSQL databases, etc.
• Familiarity with data science model maintenance and with at least one cloud computing platform (AWS, Databricks, Snowflake, etc.)
• Experience in rapid proof of concept development including data science research and experimentation, and translating results into next-gen solutions
• Desire to work in a diverse, multi-disciplinary team, identify & explore data-driven solutions to problems, and work on high impact projects
• Ability to effectively communicate technical work and results to a wide audience

WHAT COULD HAVE YOU STAND OUT:

• 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.