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Senior Data Scientist, Retention & Product
Skills
ContextDriftMessagingModelingOptimizationPattern RecognitionPersonalization
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5-8+ years in data science applied ML or statistics with production model shipping experience
- Churn prediction survival analysis and lifecycle-state modeling in subscription or recurring-revenue settings
- Uplift incrementality measurement and A/B testing with causal rigor
- End-to-end ML and MLOps including CI/CD registries containerization orchestration and monitoring
- Strong Python SQL and reproducible code practices with scikit-learn gradient boosting and deep learning a plus
- Excellent communication and collaboration with cross-functional teams
- BS in a quantitative field required MS or PhD preferred
- Ability to leverage generative AI to increase output quality and speed
Nice to have
- Subscription marketplace experience
- Food-tech experience
- Consumer marketplace experience
- Hidden Markov models
- EconML experience
- Personalization experience
Day to day
- Own retention and churn modeling for a weekly subscription business, predicting at-risk customers and anticipating lifecycle movement.
- Develop intervention models that power save flows, skip and pause deflection, lifecycle messaging, resurrection, and win-back experiences.
- Partner closely with Product CRM Marketing and Engineering to ship production models, measure uplift, optimize offers, and improve retained revenue.
Hiring process
- Submit application through official channels
- If a fit, recruiter contacts you
- Interviews held via Google Meet or Zoom
- Brief proof of humanity may be requested
