CookUnity
Senior Data Scientist, Retention & Product
$160K–$195K
United States (Remote) +1 · Remote · Senior · Full-time · Posted Jun 22, 2026
- Location
- United States (Remote)
New York, New York, United States - Experience
- 5-8+ years in data science, applied ML, or statistics, shipping production models.
- Education
- BS in a quantitative field required; MS/PhD preferred.
About the job
Own production machine-learning work that predicts and reduces customer churn, personalizes retention and win-back actions, and measures their impact.
What you'll do
- Build churn, survival, lifecycle-state, and win-back propensity models; deploy and maintain them in production.
- Develop personalized interventions, next-best actions, and offers to improve retention while measuring incremental impact.
- Partner with Product, CRM, Marketing, and Engineering to understand churn reasons and turn model outputs into decisions.
What they ask for
- 5-8+ years in data science, applied ML, or statistics, shipping production models.
- Experience with churn prediction, survival/time-to-event modeling, and lifecycle-state models in a subscription or recurring-revenue context.
- Uplift/incrementality measurement and A/B testing; production ML deployment and MLOps.
- Strong Python, SQL, code hygiene, and reproducibility; BS in a quantitative field required.
Nice to have
- Subscription marketplaces, food-tech, or consumer marketplaces; lifecycle-state or Hidden Markov models.
- Causal and uplift libraries (e.g. EconML), survival-modeling packages, recommenders, embeddings, or retention personalization.
Pay
$160,000 — $195,000 USD (base salary)
Tools
Python, pandas, scikit-learn, gradient boosting, SQL, EconML
AI focus
Use generative AI to increase output quality and speed; the workplace provides enterprise access to ChatGPT and Claude.
Model-written summary · the original posting is authoritative