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Senior Data Scientist, Retention & Product

Skills
ContextDriftMessagingModelingOptimizationPattern RecognitionPersonalization
Role

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