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ClosedPosted 219 days ago

Growth Data Scientist (Product & Lifecycle Marketing)

Quintessential20 open roles

Where
Hyderabad

This posting closed on 2026-10-23. 20 other Quintessential postings are live.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Quintessential postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 219 days ago

Quintessential median: 1 days open

The posting

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

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