Job Summary: With a mission to accelerate user acquisition through data-driven intelligence, as a Senior Staff Data Scientist, you will design and deploy machine learning models and decision systems that drive subscription growth via direct-to-consumer (D2C) and B2B/partner channels. You’ll collaborate closely with Product, Engineering, Growth, and Marketing teams to power personalized user journeys, scale experiments, and shape acquisition, retention strategy through insights and automation. If you thrive at the intersection of data, product, and impact — and want to shape how millions of users subscribe — this is the role for you

About the team: Subscriptions and Payments Team powers the end-to-end direct monetization engine for India’s largest subscription platform, with over 250M+ subscriptions. We build scalable, multi-tenant systems for acquiring users via D2C and partner channels, reducing churn through intelligent renewal and retry mechanisms, and integrating deeply with global and local payment ecosystems like UPI Autopay and card mandates.



Our platform drives seamless onboarding, high retention, and reliable payments at scale—enabling frictionless subscription experiences across geographies and devices.

Key responsibilities:
Analyze large datasets from various sources to identify trends, patterns, and actionable insights that help define and execute data-driven strategies for the Subscription platform
Design, develop, and deploy statistical models, machine learning algorithms, generative AI models, and predictive analytics to optimize plan recommendation, churn predictions, subscription propensity, winback strategies
Integrate machine learning models into production systems to deliver real-time insights and automated decision-making capabilities
Collaborate closely with cross-functional teams, including Data Engineering, Product Management, Growth and Business teams, to understand business challenges and deploy end-to-end solutions
Continuously

📌 Senior Staff Data Scientist I Bengaluru
🏢 Jiostar India
📍 Bengaluru