Data Scientist, Lyra Health

• 2-to-3 years of professional, quantitative data analysis experience with a preference for individuals who have experience in product analytics, and have partnered with engineering and product teams in prior roles. NOTE: While we do require a minimum of 2 years of professional (non-academic/non-internship) experience to qualify, this is not a Senior-level position
• Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression). Experience applying hypothesis testing in an industry or research setting
• Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables, and a preference for candidates who have experience creating views
• Solid experience with Python, including cleaning and analyzing data, as well as using Python to parse JSON structured data, call APIs, create user-defined functions, and automate
• Experience developing comprehensive analyses using irregular data from disparate sources. Willing to do whatever it takes to clean messy data prior to deriving insights
• Ability to deliver time-sensitive ad-hoc analyses requested by leadership
• Excellent communication skills and experience collaborating across multiple functions
• Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences)

Desirable

• Become an expert in the data we collect and use that data to enable us to create the highest quality product for our clients
• Develop comprehensive analyses from diverse data sources to answer questions related to the client care journey
• Translate data insights into recommendations on business strategy and product roadmaps
• Partner with data engineers to build pipelines that apply clinical logic to raw data
• Complete time-sensitive ad hoc data requests for internal and external stakeholders