Lead, Product Data Scientist

Personify Health

12d•$130,000 - $170,000

About The Position

Ready to create a healthier world? We are ready for you! Personify Health is on a mission to simplify and personalize the health experience to improve health and reduce costs for companies and their people. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we’re shaping a healthier, more engaged future. Ready to Transform Data Into Product Strategies That Drive Member Outcomes? We're seeking a strategic analytics leader who can combine deep technical expertise with product strategy insight to develop scalable frameworks and advanced analytics. As our Lead Product Data Scientist, you'll serve as the primary analytics partner for product leadership while designing experimentation models that empower teams and inform company-level decisions. What makes this role different ✓ Strategic partnership: Act as primary analytics partner to senior product leadership, setting frameworks for KPI definition, tracking, and evaluation ✓ Advanced modeling expertise: Create predictive and causal inference models that anticipate feature impact, engagement, and health outcomes ✓ Cross-functional influence: Serve as senior analytics thought leader, influencing roadmap prioritization and portfolio investment decisions ✓ Scalable impact: Build self-service tools and dashboards that empower teams while setting enterprise-level analytics standards What You'll Actually Do Drive product analytics strategy (40%): Act as primary analytics partner to senior leadership, developing advanced product funnel and user behavior models that identify patterns unlocking new opportunities. Architect experimentation frameworks (30%): Design and evaluate A/B and multivariate tests with statistical rigor while creating predictive models for feature impact and long-term engagement. Lead cross-functional influence (20%): Translate analytical findings into executive-level narratives that drive confident, data-backed decisions while facilitating workshops that raise data fluency across teams. Ensure technical excellence (10%): Partner with Data Engineering to optimize analytics-ready pipelines while establishing best practices and reusable libraries for SQL, Python, and experimentation templates.

Requirements

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)
5-8+ years leading product analytics or data science initiatives in SaaS, healthcare, or consumer tech
Proven track record informing product strategy through analysis and experimentation
Experience defining, evolving, and scaling product KPIs and measurement frameworks
Demonstrated success influencing product and company-level decisions with data
Experience partnering with product managers, digital user flows and funnels
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 that multiply impact across teams
Experience in agile product environments with direct contribution to roadmap shaping

Nice To Haves

Background in healthcare, digital health, or wellness tech ecosystems
Experience applying machine learning techniques to personalization or member engagement
Familiarity with journey analytics, health outcomes measures, or value-based care metrics
Demonstrated thought leadership in product data science communities or forums

Responsibilities

Drive product analytics strategy (40%): Act as primary analytics partner to senior leadership, developing advanced product funnel and user behavior models that identify patterns unlocking new opportunities.
Architect experimentation frameworks (30%): Design and evaluate A/B and multivariate tests with statistical rigor while creating predictive models for feature impact and long-term engagement.
Lead cross-functional influence (20%): Translate analytical findings into executive-level narratives that drive confident, data-backed decisions while facilitating workshops that raise data fluency across teams.
Ensure technical excellence (10%): Partner with Data Engineering to optimize analytics-ready pipelines while establishing best practices and reusable libraries for SQL, Python, and experimentation templates.

Benefits

Comprehensive medical and dental coverage through our own health solutions (yes, we use what we build!)
Mental health support and wellness programs designed by experts who get it
Flexible work arrangements that fit your life, not the other way around
Retirement planning support to help you build real wealth for the future
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 who want to see you succeed
Learning budget to invest in skills that matter to your future
People Matter: Inclusive community where every voice matters and diverse perspectives drive innovation
One Team One Dream: Collaborative environment where we celebrate wins together and support each other through challenges
We Deliver: Mission-driven work that creates real impact on people's health and wellbeing, with clear accountability for results
Grow Forward: Continuous learning mindset with team events, recognition programs, and celebrations that make work genuinely enjoyable
Competitive base salary plus commission structure that rewards your success
Unlimited PTO policy because rest and recharge time is non-negotiable
Benefits effective day one—because you shouldn’t have to wait to be taken care of