About CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs.

Today, CookUnity delivers 50 million meals a year from the industry’s best chefs to homes all over the country. Fresh. Ready-to-eat.

And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you’ve found the right job posting.

The role: We're hiring an ML-focused Data Scientist to own retention and churn for CookUnity. In a weekly subscription business, retention is the engine of growth — the gap between a healthy customer and a churned one is often just a few weeks of activity. Your job is to predict who's at risk, understand why they leave, and power the interventions that keep customers ordering and win back the ones who go.

This is a hands-on role embedded with Product, CRM, Marketing, and Engineering.

Responsibilities

: Churn retention modeling: Build churn/survival models and lifecycle-state models that flag at-risk customers early and anticipate where each customer is heading. Intervention reason understanding: Power the retention interventions that act on that risk — save flows, skip/pause deflection, lifecycle messaging — and classify why customers churn so the response fits the reason rather than being generic. Resurrection win-back: Develop propensity models and personalized experiences that bring churned customers back.

Personalization Next-Best-Action: Decide the right action, offer, and message per customer across product surfaces, with an uplift layer measuring incremental impact. Offer promo optimization: Determine who gets an incentive, when, and at what value — maximizing retained revenue without over-discounting. Production MLOps: Own the full model lifecycle and ship models into the systems where they act; handle monitoring, retraining, and drift.

Experimentation incrementality: Design experiments and uplift measurement so we intervene on movable customers and not on those who'd retain anyway.

Qualifications

: 5-8+ years in data science, applied ML, or statistics, shipping production models. Retention/churn depth: churn prediction, survival / time-to-event modeling, and lifecycle-state models in a subscription or recurring-revenue context. Causal experimentation rigor: uplift/incrementality measurement and A/B testing, with the judgment to separate true impact from selection effects.

End-to-end ML MLOps: building, validating, and deploying models in production (CI/CD, registries, containerization, orchestration, monitoring). Engineering tooling: strong Python (pandas, scikit-learn, gradient boosting; deep learning a plus), SQL, code hygiene and reproducibility. Collaboration: excellent communication; able to embed with Product/CRM/Marketing and turn models into decisions.

Education: BS in a quantitative field required; MS/PhD preferred. Ability to leverage generative AI to increase output quality and speed.

Requirements

: Subscription marketplaces, food-tech, or consumer marketplaces with a retention mandate. Lifecycle-state / Hidden Markov models for churn. g.

EconML) or survival-modeling packages. Recommenders, embeddings, or personalization for retention and win-back. Learn More About CookUnity We believe great leadership starts with alignment on vision, values, and ways of working.

Who We Are

and

What We’Re Looking For

, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale. We hope this provides valuable insight into our culture and product vision.

Senior Data Scientist, Retention & Product