Lead, Product Data Scientist

Overview

Who We Are

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.

 

Responsibilities

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.

Qualifications

What You Bring to Our Mission

The technical foundation:

• 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)

The strategic expertise:

• 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

The leadership competencies:

• 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

The technical stack experience:

• Languages/Analytics: SQL, Python, R
• Visualization: MicroStrategy, Tableau, Looker, PowerBI
• Infrastructure: AWS, Snowflake, dbt
• Product Analytics: Amplitude, Mixpanel, Heap, Pendo
• Collaboration: Jira, Confluence, Teams

The preferred qualifications:

• 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

 

Why You'll Love It Here

 

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