Growth Data Scientist (Product & Lifecycle Marketing)

Growth Data Scientist (Product & Lifecycle Marketing)

About Quin

Quin is building intelligent safety systems that combine hardware, software, and real-time data to detect critical events and connect users to help when it matters most. Our products sit at the intersection of IoT, edge computing, and real-world human behaviour, generating rich datasets that power smarter decisions, better user experiences, and ultimately save lives. The Role We are looking for a Growth Data Scientist to turn our unique consumer and device data into actionable insights, experiments, and product improvements that drive: User engagement and retention In-app behavior and feature adoption Conversion from interest to purchase Long-term customer value This is not a reporting or dashboarding role. You will work at the intersection of data science, product, and marketing, owning the full loop: Data → Insight → Experiment → Action → Measurable Impact

What You’ll Do

1. Turn Data into Growth Insights Analyze user behavior across app, device, and lifecycle stages Identify drop-offs, power-user behaviors, and engagement patterns Build a deep understanding of how users interact with Quin products 2. Own Experimentation Design and run A/B and multivariate experiments Define hypotheses, success metrics, and evaluation frameworks Partner with product and marketing to implement and measure experiments 3. Drive Product Decisions Translate data insights into product improvements and features Work closely with product and engineering teams to prioritize initiatives Influence onboarding, engagement flows, and feature adoption 4. Build Predictive Models Develop models for: Churn prediction User segmentation Conversion likelihood Engagement scoring

Enable personalized user experiences and targeted touch points and interventions 5. Enable Lifecycle & Performance Marketing Partner with marketing to optimize acquisition, activation, and retention funnels Create basis for then Improve CAC:LTV through data-driven targeting and segmentation Inform campaign strategy and audience selection 6. Close the Loop Ensure insights lead to shipped features, campaigns, and measurable outcomes Track and communicate business impact of data-driven decisions

What We’re Looking For

• Experience 4–8+ years in Data Science, Product Analytics, or Growth Analytics Experience working closely with product and/or marketing teams

• Technical Skills Strong in Python and SQL Experience with: A/B testing and experimentation Funnel and cohort analysis Statistical modeling

• Mindset You don’t just analyze—you drive action & lead collaboration, You think in terms of user journeys, funnels, and behavior You are comfortable influencing product and marketing decisions

• Nice to Have Experience in consumer apps, wearables, or IoT products Experience working with event-driven or real-time data Exposure to machine learning for user segmentation or prediction

Why Join Quin

Work on a mission-driven product with real-world impact Own high-visibility, high-impact growth initiatives Operate across product, data, and marketing—not in a silo Be part of a fast-moving team building at the edge of hardware and AI