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
