Growth Data Scientist

About the job

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. What You’ll Do • Turn Data into Growth Insights • Analyze user behavior across app, device, and lifecycle stages • Identify drop-offs, power-user behaviors, and engagement patterns • Partner with product and marketing to implement and measure experiments • Drive Product Decisions • Translate data insights into product improvements and features • Build Predictive Models • Develop models for: • Churn prediction • User segmentation • Conversion likelihood • Enable personalized user experiences • Enable Lifecycle & Performance Marketing • Inform campaign strategy and audience selection • Close the Loop • Track and communicate business impact of data-driven decisions.

Requirements

• Python
• SQL
• A/B testing
• Statistical modeling

Qualifications

• 4–8+ years in Data Science, Product Analytics, or Growth Analytics

Preferred Technologies

• Python
• SQL
• A/B testing
• Statistical modeling

About the company

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. They focus on generating rich datasets that power smarter decisions.