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Senior Data Scientist, Retention & Product

Vantage Compute · United States · Posted 20d ago

remoteseniorEstimated 107k-220k USD🇺🇸 United States
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About the role

About Vantage Compute : 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, Vantage Compute was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, Vantage Compute 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, Vantage Compute 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 Vantage Compute . 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 Vantage Compute 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: Vantage Compute '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 Vantage Compute , you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of Vantage Compute 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—$195,000 USD If you’re interested in this role, please submit your applicati

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FAQ

Is the Senior Data Scientist, Retention & Product role at Vantage Compute remote?+

This Senior Data Scientist, Retention & Product position is listed as remote (United States).

What is the salary for the Senior Data Scientist, Retention & Product role at Vantage Compute?+

The listing states Estimated 107k-220k USD.

What seniority level is this Senior Data Scientist, Retention & Product role?+

This is a senior level position.

How do I apply for the Senior Data Scientist, Retention & Product role at Vantage Compute?+

Use the "Apply on himalayas" button to open the original posting on himalayas, where you can submit your application directly to Vantage Compute.