About Geviti
Geviti is a next-generation health optimization platform helping individuals take control of their health through advanced diagnostics, AI-driven insights, and personalized care. Our members benefit from custom lab panels, continuous biomarker tracking, wearable integration, and tailored interventions-including hormone optimization, peptide therapies, supplements, and evidence-based lifestyle strategies.
We're setting a new standard in proactive, precision-based care-designed not just to treat illness, but to optimize health and longevity. Technology and data are at the heart of how we deliver this vision, powering everything from personalized member experiences to real-time operational insights and AI-driven clinical intelligence.
The Opportunity
We're seeking an experienced Senior Data Scientist / Analyst to become the founding member of our data function. This role will be instrumental in building Geviti's data infrastructure, generating actionable insights, and laying the foundation for predictive analytics and machine learning capabilities.
You'll start by establishing the core data systems and analytics frameworks that power our decision-making, and evolve toward enabling advanced AI applications that directly support our mission of optimizing human health and performance.
This is a hands-on, highly collaborative role for someone who thrives in early-stage environments and wants to make a tangible impact on both product and business strategy.
Key Responsibilities
Data Infrastructure & Engineering
- Architect and build a scalable data warehouse / lakehouse environment on cloud infrastructure
- Restructure and optimize database schemas for analytical efficiency and BI tool integration
- Design and implement ETL / ELT pipelines to consolidate data from multiple internal and external sources
- Establish data quality monitoring, validation, and governance frameworks
- Maintain clear documentation, data dictionaries, and lineage tracking
Analytics & Business Intelligence
Develop and maintain executive dashboards tracking key business metrics (engagement, retention, CAC, LTV, operational efficiency)Conduct deep-dive analyses into patient behavior, subscription patterns, and engagement driversCreate segmentation models to identify high-value cohorts and at-risk populationsDesign and analyze A / B tests to evaluate product and marketing performanceTranslate complex business questions into clear, actionable insightsData Science & AI Enablement
Build predictive models for patient engagement, retention, and churn forecastingSupport AI / RAG initiatives by preparing training datasets and evaluation pipelinesDevelop operational models to enhance efficiency across clinical and business workflowsCollaborate with engineering and product teams to integrate data-driven intelligence into platform featuresCross-Functional Collaboration
Partner with engineering on API integrations and scalable infrastructureWork closely with product, operations, and clinical teams to define success metrics and instrument analyticsEnable self-service analytics through modern BI platforms and stakeholder trainingUphold HIPAA compliance and best practices for PHI data handlingKey Qualifications
Technical Expertise
5+ years of experience in data science, analytics, or data engineeringExpert-level SQL skills, including schema design and query optimizationStrong proficiency in Python for analysis, scripting, and model developmentProven experience building or managing cloud-based data warehouses / lakehousesFamiliarity with modern BI tools and visualization platformsSolid understanding of ETL / ELT patterns, workflow orchestration, and data quality processesAnalytical & Strategic Skills
Deep statistical foundation and experience designing experimentsAbility to translate ambiguous business challenges into measurable data solutionsExperience with product and customer analyticsStrong communication skills-able to make data meaningful for non-technical stakeholdersSelf-starter mindset with comfort operating independently and building systems from the ground upBonus Points
Experience in healthcare or healthtech environmentsKnowledge of FHIR standards or healthcare data modelsFamiliarity with HIPAA compliance and secure data handlingExposure to ML frameworks (classification, regression, time-series, RAG)Cloud certifications or real-time analytics experiencePrior experience as a founding or first data hireWhy Geviti
Work on meaningful problems that directly improve people's health and longevityJoin a mission-led, growth-oriented team shaping the future of healthcareCompetitive compensation with opportunities for leadership and growthBuild impactful products at the intersection of health, data, and AI