Growth Data Scientist (Product & Lifecycle Marketing)

Quin; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Mission-driven product

High-impact initiatives

Collaborative environment

Job summary

A technology firm in Hyderabad is seeking a Growth Data Scientist to transform unique consumer and device data into actionable insights and product enhancements. The role involves analyzing user behavior, conducting experiments, and collaborating across product and marketing teams to develop data-driven strategies that drive engagement and retention. Candidates should have 4–8 years of experience in Data Science, robust skills in Python and SQL, and a background in A/B testing. This position offers a chance to work on impactful growth initiatives in a fast-paced environment.

Qualifications

• 4–8+ years in Data Science, Product Analytics, or Growth Analytics.
• Experience working closely with product and/or marketing teams.

Responsibilities

• Turn data into growth insights.
• Analyze user behavior across app and device.
• Design and run A/B experiments.
• Translate data insights into product improvements.
• Develop predictive models for churn prediction.

Skills

Python

SQL

A/B testing and experimentation

Funnel and cohort analysis

Statistical modeling

Job description

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

• 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
• 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
• 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
• Build Predictive Models
• Develop models for:
  • Churn prediction
  • User segmentation
  • Conversion likelihood
  • Engagement scoring
• Enable personalized user experiences and targeted touch points and interventions
• 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
• Close the Loop
• Ensure insights lead to shipped features, campaigns, and measurable outcomes
• Track and communicate business impact of data-driven decisions

Experience

What We’re Looking For

• 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