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