Note: The job is a remote job and is open to candidates in USA. Lyra Health is a leading provider of evidence-based mental health care, serving millions globally. They are seeking a self-driven, technical Data Scientist to work on AI/ML initiatives that enhance the mental health experience for patients and providers.
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 with a preference for individuals who have experience in product analytics in the AI/ML space and have partnered with engineering and product teams in prior roles
- 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. Preference for candidates who have experience creating views
- Graduate-level Statistics coursework with 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
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