Data Science Engineer, Turquoise Health

• Bachelor’s degree, or equivalent experience/knowledge. We are happy to work with strong candidates with non-traditional educational backgrounds
• 3+ years of experience in revenue cycle or healthcare consulting in a technical/analytical role
• In-depth knowledge of payer-provider contracting, reimbursement mechanisms, claims pricing, hospital revenue cycle and factors contributing to the cost of healthcare
• 2+ years demonstrated experience developing custom data models and pipelines, and distributing them in digestible end products
• Understanding of data, analytics, and ML. Previous experience working with big, messy data sets, and data processing pipelines
• Previous experience working with a technical team and contributing to a production development environment
• Work experience in Python and SQL
• Expert communication and visualization of data for clients and internal stakeholders
• Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs. You can problem solve independently
• Ability to work effectively in a remote environment

Desirable

• We’re looking for a driven, entrepreneurial Data Science Engineer to join our team and help eliminate the financial complexity of healthcare.
• We value creative, outside-the-box thinkers that back their ideas with technical knowledge and action
• Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
• Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external clients
• Apply evolving industry standard data science techniques and toolkits to your analyses and communicate results via reports and visualizations
• Contribute to building and maintaining data pipelines
• Draft internal and external technical documentation
• Seek and prioritize technical and product feedback from internal customers
• Iterate quickly with an eye towards value