Senior Data Scientist/Analyst
Geviti
full-time
Posted on:
Location Type: Remote
Location: Remote • Arizona • 🇺🇸 United States
Visit company websiteSalary
💰 $115,000 - $140,000 per year
Job Level
Senior
Tech Stack
CloudETLPythonSQL
About the role
- 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
- 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 drivers
- Create segmentation models to identify high-value cohorts and at-risk populations
- Design and analyze A/B tests to evaluate product and marketing performance
- Build predictive models for patient engagement, retention, and churn forecasting
- Support AI/RAG initiatives by preparing training datasets and evaluation pipelines
- Develop operational models to enhance efficiency across clinical and business workflows
- Collaborate with engineering and product teams to integrate data-driven intelligence into platform features
- Partner with engineering on API integrations and scalable infrastructure
- Work closely with product, operations, and clinical teams to define success metrics and instrument analytics
- Enable self-service analytics through modern BI platforms and stakeholder training
- Uphold HIPAA compliance and best practices for PHI data handling
Requirements
- 5+ years of experience in data science, analytics, or data engineering
- Expert-level SQL skills, including schema design and query optimization
- Strong proficiency in Python for analysis, scripting, and model development
- Proven experience building or managing cloud-based data warehouses/lakehouses
- Familiarity with modern BI tools and visualization platforms
- Solid understanding of ETL/ELT patterns, workflow orchestration, and data quality processes
- Deep statistical foundation and experience designing experiments
- Ability to translate ambiguous business challenges into measurable data solutions
- Experience with product and customer analytics
- Strong communication skills—able to make data meaningful for non-technical stakeholders
- Self-starter mindset with comfort operating independently and building systems from the ground up
- Experience in healthcare or healthtech environments is a bonus
- Knowledge of FHIR standards or healthcare data models is a bonus
- Familiarity with HIPAA compliance and secure data handling is a bonus
- Exposure to ML frameworks (classification, regression, time-series, RAG) is a bonus
- Cloud certifications or real-time analytics experience is a bonus
Benefits
- Competitive compensation with opportunities for leadership and growth
- Work on meaningful problems that directly improve people's health and longevity
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLPythonETLELTdata warehousingdata lakehousestatistical analysisA/B testingpredictive modelingdata quality monitoring
Soft skills
strong communication skillsself-starter mindsetindependent operationproblem-solvingcollaborationanalytical thinkingstakeholder trainingtranslating business challengesdocumentationdata-driven decision making
Certifications
cloud certifications