Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Lyra Health

Senior Data Scientist – AI Research

Lyra Health

Sr. Data Scientist advancing AI/ML initiatives for Lyra Health’s evidence-based mental healthcare platform.

Posted 8/8/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $128,000 - $197,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis and product analytics within the AI/ML space, leveraging strong SQL and Python skills to extract insights from diverse data sources. Collaborates effectively with cross-functional teams, applying statistical methods and rigorous evaluation frameworks to enhance product offerings.

Highest-signal resume keywords
Data AnalysisProduct AnalyticsSQL ProficiencyPython ProgrammingStatistical Applications

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AnalysisProduct AnalyticsSQL ProficiencyPython ProgrammingStatistical ApplicationsHypothesis TestingData Pipeline DevelopmentPredictive ModelingGenerative ModelingData Cleaning
Soft Skills
CollaborationCommunicationProblem-SolvingStakeholder ManagementAdaptability
Tools & Technologies
AI/MLData PipelinesAPIsJSONEvaluation Frameworks
Certifications & Qualifications
Graduate-Level Statistics Coursework
Industry Keywords
Public HealthClinical DomainsCross-Functional CollaborationData SourcesTime-Sensitive Requests

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Work closely with Lyra’s Data, Product, Engineering, and Clinical teams on AI/ML initiatives
  • Enhance the Lyra platform to serve the needs of providers and clients
  • Become an expert in diverse data sources and partner with data engineers to build pipelines applying clinical logic to raw data
  • Extract actionable insights and develop predictive and generative models
  • Implement rigorous evaluation frameworks to support product iterations
  • Complete time-sensitive ad hoc data requests for internal and external stakeholders
  • Create a frictionless experience for mental health patients, providers, and employers

Requirements

What you’ll need
  • 5+ years of data analysis in an industry setting
  • Experience in product analytics in the AI/ML space preferred
  • Experience partnering with engineering and product teams
  • Experience collaborating with cross-functional stakeholders across technical, business, and ideally clinical domains
  • Understanding of statistical applications and methods, including experimentation, probabilities, and regression
  • Experience applying hypothesis testing in an industry or research setting
  • Experience developing comprehensive analyses using irregular data from disparate sources
  • Strong SQL proficiency, including complex queries with multiple schemas and tables
  • Graduate-level Statistics coursework with MS in a quantitative field preferred
  • Interest in public health is a plus
  • Experience with AI/ML R&D, such as prompt engineering and RAG
  • Experience with Python for cleaning and analyzing data, parsing JSON structured data, calling APIs, creating user-defined functions, and automation
  • Remote-based candidates must be physically located within the United States

Benefits

Comp & perks
  • Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
  • Lyra for Lyrians; coaching and therapy services
  • Equity in the company through discretionary restricted stock units
  • Competitive time off with pay policies including vacation, sick days, and company holidays
  • Paid parental leave
  • 401K with up to 3% matching
  • Monthly tech allowance
  • Well-being perks and activities
  • Surprise swag
  • Regular community celebrations