Data Science Manager Product Analytics (Remote)

Job Title: Data Science Manager, Product Analytics

Location: US Remote

Salary: $180,000–$220,000 base + bonus

Are you ready to shape the future of healthcare products through data-driven decision-making? Join a digital innovation team at the forefront of transforming patient care. As a leader in product analytics, you’ll use data science to optimize engagement, retention, and outcomes while driving experimentation and personalization strategies.

About the Role

As Data Science Manager, Product Analytics, you’ll be instrumental in uncovering insights that shape product strategy and performance. You’ll own A/B testing frameworks, lead data-driven experimentation, and deliver actionable recommendations that improve user engagement and retention. This role is a unique opportunity to combine cutting-edge analytics with a mission-driven focus on improving healthcare solutions.

Key Responsibilities

Product Analytics & Experimentation:

• Develop insights to enhance product engagement, optimize retention, and improve overall user experience.
• Design and implement A/B testing frameworks to measure the impact of product changes and personalization strategies.
• Leverage experimentation to refine user segmentation, inform feature development, and drive continuous improvement.
• Analyze patient data to uncover key trends that improve outcomes and inform product recommendations.

Driving Innovation in Product Analytics:

• Build churn prediction models and identify lapsed users to support marketing automation and re-engagement efforts.
• Develop leading indicators for retention and active user metrics to enhance decision-making.
• Partner with marketing and product teams to create data pipelines enabling robust user ID tracking and personalization.
• Collaborate on developing recommendation engines to enhance the user experience, with a focus on 2025 deployment.

Team Leadership & Execution:

• Oversee and manage two data scientists to execute the product analytics roadmap.
• Mentor junior team members, fostering a culture of analytical rigor and experimentation.
• Provide strategic guidance to leadership on applying analytics and testing to inform product-focused decision-making.

What We’re Looking For

Experience:

• 5+ years in data science, with a strong focus on product analytics and experimentation.
• Expertise in consumer or health tech, including DAU/MAU metrics, A/B testing, personalization, recommendation engines, churn prediction, and retention strategies.
• Experience with healthcare data (e.g., EPIC) is a strong plus.

Technical Skills:

• Required: Python, SQL.
• Preferred: Databricks, Azure Databricks.

Soft Skills:

• Exceptional ability to communicate data-driven insights and experimentation results to technical and non-technical stakeholders.
• Proven ability to lead roadmaps, deliver impactful analytics solutions, and foster a culture of testing and learning.
• A mentorship mindset, with experience developing junior staff and collaborating across teams.

Why Join Us?

• Product-Driven Impact: Use data science to shape innovative healthcare products and improve user experiences.
• Experimentation Culture: Drive A/B testing and experimentation strategies to continuously optimize products and personalization efforts.
• Variety & Growth: Work on fast-paced projects every ~2 years, offering opportunities to explore new challenges and grow professionally.
• Mission-Driven Work: Create scalable solutions that make healthcare more accessible and impactful for underserved populations.