Senior Data Scientist, Product

Ever wondered how top mobile apps manage to build, scale, and understand their subscription revenue without the usual headaches? RevenueCat is at the heart of that magic. We are searching for a Senior Product Data Scientist who not only loves diving deep into data but also possesses a genuine knack for product strategy. This isn't a role where you wait for the perfect question to land on your desk. Instead, you will be the one actively uncovering insights, identifying opportunities for growth, and proactively driving new ideas that shape our platform. If you're eager to make a tangible impact on a product used by millions of end users and thousands of developers worldwide, while working within a vibrant, remote first team, then this could be your next big adventure.

Overview: RevenueCat and Your Role

RevenueCat is quickly becoming the default monetization platform for mobile applications. It is trusted by solo developers and large teams alike, including the OpenAI mobile team. We remove the complexities of building and scaling in app subscriptions. We process over $12B in annual purchase volume and power more than 40% of newly shipped subscription apps. Our diverse, remote first team of over 150 individuals spans more than 25 countries. We are unified by core values such as Customer Obsession, Always Be Shipping, Own It, and Balance.

As our Senior Product Data Scientist, you will play a pivotal role in understanding our customer journeys and identifying key opportunities for product innovation. You will collaborate closely with our Product, Engineering, and Analytics teams, directly influencing what we build, why we build it, and how we measure its success. This is a fully remote, global opportunity, inviting talented individuals from anywhere in the world to join our mission.

Key Responsibilities

Proactively explore complex datasets to identify customer pain points, product opportunities, and areas for growth within our platform.
Design, implement, and analyze A/B tests and other experiments to validate hypotheses and measure the impact of new features.
Develop robust metrics, dashboards, and reporting tools to monitor key product performance indicators and track progress towards goals.
Partner closely with Product Managers to define product strategy, refine roadmaps, and ensure data driven decision making throughout the development lifecycle.
Collaborate with Engineering to ensure data quality, instrument new events, and build scalable data infrastructure.
Communicate complex analytical findings and recommendations clearly and persuasively to both technical and non technical stakeholders.
Contribute to the growth of our data science practice, potentially mentoring more junior team members and advocating for best practices.

What You'll Bring

Several years of experience as a Product Data Scientist in a fast paced, product focused environment.
Demonstrated strong product intuition and a proven track record of influencing product strategy with data.
Expertise in SQL for data extraction and manipulation, along with strong proficiency in Python or R for statistical analysis and modeling.
Solid understanding of statistical inference, experimental design, and A/B testing methodologies.
Ability to work autonomously, prioritize effectively, and drive projects from ambiguous beginnings to actionable insights.
Exceptional communication and storytelling skills, capable of translating complex analytical results into clear, concise, and compelling narratives.
Experience within a B2B SaaS or mobile application ecosystem is a significant plus.

What You'll Gain at RevenueCat

The opportunity to make a massive impact on a product that touches hundreds of millions of end users and empowers thousands of developers globally.
Work in a truly remote first company culture that values autonomy, ownership, and work life balance.
Collaborate with a diverse and talented team spread across the globe, learning from and contributing to a highly engaged community.
A chance to shape the future of mobile subscription monetization through your data driven insights and strategic contributions.
Significant professional growth, continuous learning opportunities, and the satisfaction of seeing your work directly influence product direction.