Data Scientist

Marketing & Revenue Modelling:

• Own end-to-end modelling of LTV, user segmentation, retention, and marketing efficiency to inform media optimization and value attribution.
• Collaborate with Paid Media and RevOps to optimize SEM performance, predict high-value cohorts, and power strategic bidding and targeting.

Product & Growth Analytics:

• Work closely with Product Insights and General Managers (GMs) to define core metrics, KPIs, and success frameworks for new launches and features.
• Conduct deep-dive analysis of user behaviour, funnel performance, and product engagement to uncover actionable insights.
• Monitor and explain changes in key product metrics, identifying root causes and business impact.

Predictive Modelling & Machine Learning:

• Build predictive models for conversion, churn, revenue, and engagement using regression, classification, or time-series approaches.
• Identify opportunities for prescriptive analytics and automation in key product and marketing workflows.
• Support development of reusable ML pipelines for production-scale use cases in product recommendation, lead scoring, and SEM planning.