Note: The job is a remote job and is open to candidates in USA. Lyra Health is hiring a Senior Data Scientist to support AI/ML initiatives that improve the experience of mental health patients and providers. The role partners with Data, Product, Engineering, and Clinical teams to develop insights and models, build data pipelines, and evaluate product iterations.

Responsibilities

• Work closely with Lyra’s Data, Product, Engineering, and other associated teams to enhance the Lyra platform to serve the needs of our providers and clients
• Become an expert in the diverse data sources we collect and partner with data engineers to build pipelines that apply clinical logic to raw data
• Extract actionable insights, develop predictive and generative models, and implement rigorous evaluation frameworks to support product iterations
• Complete time-sensitive ad hoc data requests for internal and external stakeholders

Skills

• 5+ years of data analysis in an industry setting
• Experience collaborating with cross-functional stakeholders across technical, business, and (ideally) clinical domains
• Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression)
• Experience applying hypothesis testing in an industry or research setting
• Experience developing comprehensive analyses using irregular data from disparate sources
• Willing to do whatever it takes to clean messy data prior to deriving insights
• Strong SQL proficiency
• Experience writing complex queries with multiple schemas and tables
• Graduate-level Statistics coursework
• Who have experience in product analytics in the AI/ML space and have partnered with engineering and product teams in prior roles
• Preference for candidates who have experience creating views
• MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences)
• Interest in public health a plus
• Experience with AI/ML R&D, e.g. prompt engineering and RAG
• 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

Benefits

• Remote work anywhere within the United States; remote-based candidates must be physically located within the United States.

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