Found Description
Responsibilities
- Build, deploy, and iterate on customer churn prediction models
- Identify leading indicators, segment at-risk cohorts, and work with Customer Success on retention playbooks
- Develop propensity models and next-best-action recommendations to help commercial teams prioritise accounts and product conversations
- Design attribution frameworks across marketing channels, sales motions, and product touchpoints
- Build the data products that let leadership see what's actually driving revenue
- Design and analyse A/B tests and quasi-experiments for commercial initiatives
- Take models from notebook to production
- Translate ambiguous commercial questions into well-scoped analytical problems
- Communicate findings clearly to non-technical audiences
Requirements
- 5+ years in applied data science, with experience on commercial problems (churn, LTV, propensity, attri...