Senior Data Scientist, Growth & Retention

Cookunity

New York, United States
On-site
Customer lifecycle modeling
Predictive ltv models
Churn and survival models
Build and maintain predictive LTV, churn, order-rate, and resurrection models that feed acquisition, CRM, and retention strategies

Job Summary

  • Build and maintain predictive LTV, churn, order-rate, and resurrection models that feed acquisition, CRM, and retention strategies.
  • Own the full model lifecycle including training pipelines, CI/CD, model registries, containerized deployment, monitoring, retraining and drift detection.
  • Translate technical work into product recommendations, dashboards and clear narratives for Growth, Marketing and Engineering.

Matching Summary

Build and maintain predictive LTV, churn, order-rate, and resurrection models that feed acquisition, CRM, and retention strategies.

Skills & Requirements

Must-have

  • customer lifecycle modeling
  • predictive LTV models
  • churn and survival models
  • lookalike and propensity models
  • Next-Best-Action models
  • unsupervised learning and clustering
  • production ML pipelines
  • model monitoring and retraining
  • Python for data science

Nice-to-have

  • subscription marketplace experience
  • food-tech industry experience
  • feature store familiarity
  • Snowflake or BigQuery experience
  • causal inference libraries

Key Requirements

  • 5-8+ years in data science
  • Strong math and statistics foundation
  • End-to-end ML experience
  • MLOps and production skills
  • BS in a quantitative field required

Work Rights

Not specified

Tailored Resume

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