Senior Data Scientist, Retention – Product

This is a fully remote position, open to applicants in United States.

📋 Description

• Churn & retention modeling: Create churn and survival models as well as lifecycle-state models that identify at-risk customers early and predict their future behavior.

• Intervention & reason understanding: Support retention initiatives that address identified risks — including save flows, skip/pause deflections, and lifecycle messaging — while classifying the reasons behind customer churn to tailor responses accordingly.

• Resurrection & win-back: Design propensity models and personalized experiences aimed at re-engaging churned customers.

• Personalization & Next-Best-Action: Determine the most appropriate action, offer, and message for each customer across various product surfaces, incorporating an uplift layer to assess incremental impact.

• Offer & promo optimization: Identify who should receive incentives, when, and at what value, ensuring maximum retained revenue while avoiding excessive discounts.

• Production & MLOps: Oversee the entire model lifecycle, deploying models into operational systems, and managing monitoring, retraining, and drift.

• Experimentation & incrementality: Create experiments and uplift measurement strategies to focus interventions on customers who can be influenced rather than those who would naturally retain.

⛳️ Requirements

• 5-8+ years of experience in data science, applied machine learning, or statistics, with a track record of delivering production models.

• Expertise in retention and churn: experience with churn prediction, survival/time-to-event modeling, and lifecycle-state models within subscription or recurring-revenue frameworks.

• Causal & experimentation rigor: proficiency in uplift/incrementality measurement and A/B testing, with the ability to discern genuine impact from selection effects.

• End-to-end ML & MLOps: experience in building, validating, and deploying models in production environments (CI/CD, registries, containerization, orchestration, monitoring).

• Engineering & tooling: strong proficiency in Python (including pandas, scikit-learn, gradient boosting; deep learning is a plus), SQL, and maintaining code hygiene and reproducibility.

• Collaboration: excellent communication skills; capable of integrating with Product, CRM, and Marketing teams to transform models into actionable decisions.

• Education: a BS in a quantitative field is required; an MS/PhD is preferred.

• Ability to utilize generative AI to enhance output quality and efficiency.

🏝️ Benefits

• 🩺 Health Insurance coverage

• 🌅 401k Plan

• ⛱ Unlimited PTO

• 🗓️ 5-year Sabbatical: After 5 years with CookUnity, you will receive a 4-week paid sabbatical

• 🐣 Paid Family leave

• 🕯 Compassionate Leave: 3-5 days available each time the need arises

• 🥘 A generous amount of CookUnity credits to enjoy our exceptional meals, credited to your account monthly

• 🤖 AI-forward workplace: enterprise access to ChatGPT and Claude to enhance your productivity and growth.

• 🧘🏽‍♀️ Wellness perks: access to fitness subsidies to promote a healthy lifestyle

• 👩🏾‍🏫 Personalized Spanish coaching

• 🚀 Exciting opportunity to join a company aiming to transform how we eat and how chefs operate!