Senior Data Scientist, Retention & Product

CookUnity

$160K — $185K *
US-AnywhereRemote in United States
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8+ years in data science, applied ML, or statistics with production model experience.
  • Deep understanding of churn prediction and lifecycle-state modeling in subscription businesses.
  • Expertise in causal inference and A/B testing methodologies.
  • Rich experience in end-to-end ML processes, including MLOps for model deployment.
  • Proficiency in Python and SQL, with emphasis on code quality and reproducibility.
  • Strong communication skills for cross-functional collaboration with Product and Marketing teams.
  • BS in a quantitative field required; MS/PhD preferred.

Responsibilities

  • Build churn/survival models to identify at-risk customers early.
  • Develop targeted retention interventions based on churn reasons.
  • Create models and strategies to win back churned customers.
  • Personalize actions and offers per customer to maximize retention effectiveness.
  • Optimize promotional incentives to balance customer retention and revenue impact.
  • Oversee the full model lifecycle and ensure effective monitoring and retraining.
  • Design experiments to measure the effectiveness of retention initiatives.

Benefits

  • Health Insurance coverage
  • 401k Plan
  • Unlimited PTO
  • 5-year Sabbatical with 4 weeks paid leave
  • Paid Family Leave
  • Compassionate Leave for personal emergencies
  • Generous monthly CookUnity meal credits
  • AI tools access for enhanced productivity
  • Wellness perks including fitness subsidies
  • Personalized Spanish coaching
Full Job Description
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.
Preferred requirements:
  • Subscription marketplaces, food-tech, or consumer marketplaces with a retention mandate.
  • Lifecycle-state / Hidden Markov models for churn.
  • Causal and uplift libraries (e.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. To give you deeper insight into 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. If this excites you, we'd love to connect!
Benefits

Health Insurance coverage

401k Plan

Unlimited PTO

5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

Paid Family leave

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

A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly

AI-forward workplace: enterprise access to ChatGPT and Claude to help you work smarter and grow faster.

Wellness perks: access to fitness subsidies to build a healthy lifestyle

Personalized Spanish coach

Awesome opportunity to join a company that is looking to change how we eat and how chefs work!

Compensation
All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.

Pay Range for this position

$160,000-$185,000 USD

If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time!

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