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
