Personify Health
Healthcare Insurance • Wellness • Artificial Intelligence
Personify Health is the first personalized health platform company, designed to empower individuals and organizations to achieve better health outcomes through tailored solutions and services. They offer a comprehensive range of solutions including wellbeing navigation, care management, and health plan administration, catering to employers, health systems, health plans, and brokers. Their goal is to simplify healthcare experiences and enhance engagement, ultimately helping businesses optimize their investment in employee health and wellbeing.
Lead Product Data Scientist
September 20
Personify Health
Healthcare Insurance • Wellness • Artificial Intelligence
Personify Health is the first personalized health platform company, designed to empower individuals and organizations to achieve better health outcomes through tailored solutions and services. They offer a comprehensive range of solutions including wellbeing navigation, care management, and health plan administration, catering to employers, health systems, health plans, and brokers. Their goal is to simplify healthcare experiences and enhance engagement, ultimately helping businesses optimize their investment in employee health and wellbeing.
📋 Description
• Act as primary analytics partner to senior product leadership, setting frameworks for KPI definition, tracking, and evaluation • Develop advanced product funnel and user behavior models to identify patterns and opportunities • Design and evaluate A/B and multivariate tests with statistical rigor and create predictive models for feature impact and long-term engagement • Build self-service tools and dashboards and set enterprise-level analytics standards • Translate analytical findings into executive-level narratives and facilitate workshops to raise data fluency across teams • Influence roadmap prioritization and portfolio investment decisions through data-driven insights • Partner with Data Engineering to optimize analytics-ready pipelines and establish best practices and reusable libraries for SQL, Python, and experimentation templates
🎯 Requirements
• 5-8+ years leading product analytics or data science initiatives in SaaS, healthcare, or consumer tech • Advanced SQL skills for complex query design and optimization • Deep proficiency in Python with libraries like pandas, numpy, scikit-learn for modeling and analysis • Strong grounding in statistical inference, hypothesis testing, and causal modeling • Expertise with experimentation platforms and product analytics tools (Amplitude, Mixpanel, Heap, Pendo) • Experience defining, evolving, and scaling product KPIs and measurement frameworks • Proven track record informing product strategy through analysis and experimentation • Demonstrated success influencing product and company-level decisions with data • Ability to coach and raise data fluency of product managers, designers, and business leaders • Strong executive communication and storytelling skills with comfort presenting to leadership teams • Track record building scalable analytics frameworks and reusable libraries for SQL, Python, and experimentation templates • Experience in agile product environments with direct contribution to roadmap shaping • Familiarity with visualization and analytics tools (MicroStrategy, Tableau, Looker, PowerBI) • Infrastructure experience with AWS, Snowflake, dbt • Collaboration tools: Jira, Confluence, Teams • Preferred: Background in healthcare or digital health; experience applying ML to personalization; familiarity with journey analytics, health outcomes measures, or value-based care metrics
🏖️ Benefits
• Comprehensive medical and dental coverage through our own health solutions • Mental health support and wellness programs • Flexible work arrangements • Retirement planning support • Basic Life and AD&D Insurance plus Short-Term and Long-Term Disability protection • Employee savings programs and voluntary benefits like Critical Illness and Hospital Indemnity coverage • Professional development opportunities and clear career progression paths • Mentorship from industry leaders • Learning budget for professional development • Competitive base salary plus commission structure • 10% target bonus/variable compensation • Unlimited PTO policy • Benefits effective day one • Inclusive community, team events, recognition programs
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