Data Scientist – Customer Lifecycle...

About the Role

At Gaana, we are seeking a data-driven problem solver to enhance customer lifecycle outcomes, from engagement through to renewal and upgrades. This position operates at the intersection of data science, product, and growth, with a focus on identifying and implementing strategies that significantly improve customer Lifetime Value (LTV).

What You'll Do

• Analyze user behavior and develop insights at both cohort and individual levels to understand engagement, churn, and renewal patterns.
• Pinpoint high-impact intervention opportunities across the customer journey, determining the right actions, timing, and target audience.
• Design and execute lifecycle strategies using existing tools like CRM, notifications, and journey builders to boost retention and upgrade rates.
• Build and deploy models and frameworks to predict churn, engagement drop-offs, and the likelihood of upgrades.
• Conduct structured experiments, including A/B testing, to measure the impact of interventions and drive continuous improvement.
• Collaborate closely with product, marketing, and growth teams to translate insights into scalable, actionable interventions.
• Take ownership of key metrics such as engagement, renewal rates, upgrade conversion, and LTV improvement.

What We're Looking For

• 2–5 years of experience in data science, analytics, or growth-focused roles.
• A strong understanding of user behavior analysis, cohort analysis, and lifecycle metrics.
• Hands-on experience with SQL, Python (or similar tools), and data modeling.
• The ability to move beyond analysis to drive real-world interventions and tangible outcomes.
• Experience with experimentation frameworks and A/B testing is a significant advantage.
• Experience with marketing automation tools such as MoEngage or CleverTap is a plus.
• A high degree of ownership, with the ability to work independently and drive initiatives from start to finish.
• Excellent problem-solving and communication skills, coupled with a bias for action.

What Success Looks Like

• Demonstrable improvement in engagement, retention, and renewal rates.
• Scalable lifecycle interventions that positively affect large user cohorts.
• A robust experimentation culture that yields measurable business outcomes.
• A tangible uplift in customer LTV and monetization metrics.

Why This Role Matters

This is a high-impact role at Gaana, directly influencing how millions of users experience our product and how we foster long-term growth. You will not only analyze data but also actively shape the customer journey.