Sr. Data Scientist - AI Research
Summary
Build and evaluate AI/ML models to improve mental health care delivery, working with clinical and product teams to enhance patient and provider experiences using predictive and generative approaches.
Lyra is transforming mental health care by creating a frictionless experience for members, providers, and employers. We connect companies and their employees to mental health providers, therapy, and coaching programs that work.
We are looking for a self-driven, technical Data Scientist who cares about impact, ownership and innovation. In this role, you will work closely with Lyra’s Data, Product, Engineering, and Clinical teams on AI/ML initiatives that will enhance the experience of mental health patients and providers.
This Data Scientist role can be filled remotely anywhere within the US, as well as locally in our Burlingame, CA headquarters. Please note that remote-based candidates must be physically located within the United States.
Responsibilities
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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.
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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
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Extract actionable insights, develop predictive and generative models, and implement rigorous evaluation frameworks to support product iterations
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Complete time-sensitive ad hoc data requests for internal and external stakeholders
Qualifications
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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.
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Experience collaborating with cross-functional stakeholders across technical, business, and (ideally) clinical domains
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Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression). Experience applying hypothesis testing in an industry or research setting.
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Experience developing comprehensive analyses using irregular data from disparate sources. Willing to do whatever it takes to clean messy data prior to deriving insights.
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Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views.
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Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences).
Preferred Qualifications
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Interest in public health a plus
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Experience with AI/ML R&D, e.g. prompt engineering and RAG
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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.
Skills
As published by lever · 6 questions · 1 written answer
Basics
Resume/CV, Full name, Pronouns, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website, To which gender identity do you most identify?, To which sexual orientation do you most identify?, Do you identify as a person living with a disability?, Are you fluent in any of the following languages?, Do you identify as LGBTQIA+?
Pick from a list (5)
- Are you legally authorized to work in the United States for our Company?
- Do you now, or will you in the future, require sponsorship for employment visa status (e.g., H-1B visa status, etc.) to work legally for our Company in the United States?
- Are you an employee of Lyra, Bend or an affiliated company (Currently or Previously)?
- If yes to the previous question, please select your affiliation: optional
- If you are a Lyra employee, do you certify you have reviewed the Internal Mobility Policy and meet the requirements? optional
Written answers (1)
- If you selected "other", please share your relationship here optional
