This is a full time, fully remote role with Frederick Fox's SaaS Healthcare client. Frederick Fox has been retained for initial candidate screening and interview coordination.

Lead Product Data Scientist

Location: Remote, United States Function: Product Management / Data Science

Who We Are

Ready to create a healthier world? We are a rapidly growing technology company on a mission to simplify and personalize the health experience to improve outcomes and reduce costs for companies and their members. 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 Unique

Strategic Partnership: Act as the 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 a 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

This role balances strategic leadership, technical design, and cross-functional influence:

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.

What You Bring to Our Mission

1. The Technical Foundation

Advanced SQL skills for complex query design and optimization.
Deep proficiency in Python with libraries like pandas, numpy, and scikit-learn for modeling and analysis.
Strong grounding in statistical inference, hypothesis testing, and causal modeling.
Expertise with experimentation platforms and product analytics tools (e.g., Amplitude, Mixpanel, Heap).

2. The Strategic Expertise

5-8+ years leading product analytics or data science initiatives in a SaaS, healthcare, or consumer tech environment.
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 to map and optimize digital user flows and funnels.

3. 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.

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

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

We believe in total rewards that actually matter—not just competitive packages, but benefits that support how you want to live and work.

Your Wellbeing Comes First

Comprehensive medical and dental coverage.
Mental health support and wellness programs.
Flexible work arrangements that fit your life.

Financial Security That Makes Sense

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.

Growth Without Limits

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.

A Culture That Energizes

People Matter: Inclusive community where every voice matters.
One Team One Dream: Collaborative environment where we celebrate wins together.
We Deliver: Mission-driven work that creates real impact on people's health and wellbeing.

The Practical Stuff