Role overview
- Build, improve, and operate recommender systems that tailor menus, content, and customer experiences across our brands.
- Apply ranking, uplift modeling, and experimentation to help customers find meals they genuinely want—improving first-box conversion and repeat rate.
- Work with Product and Design to turn model outputs into simple, intuitive product flows.
- Create modeling and measurement frameworks for LTV, CAC payback, attribution, and targeting across paid and lifecycle channels.
- Partner with Growth and CRM to design and evaluate experiments (offers, onboarding, lifecycle journeys) and translate results into decisions.
- Support marketing investment choices with scenario analysis, trade-offs, and clear recommendations.
- Develop and iterate churn / reactivation models to identify at-risk customers and the most effective retention levers.
- Collaborate with Product, CRM, and Customer Care on targeted interventions, validating impact via controlled tests.
- Own the full lifecycle of key models: framing, data selection, training, deployment, monitoring, and retraining.
- Partner with data/platform teams to ensure ML services are observable and reliable (versioning, alerting, performance tracking).
- Mentor and coach 2–3 Data Scientists / ML-focused analysts, helping them own meaningful roadmap areas.
- Provide clarity, feedback, and a psychologically safe environment where learning and experimentation are normal.
- Help teams design strong A/B tests, interpret results, and balance speed with rigor.
- Communicate clearly with non-technical stakeholders: what the model indicates, what it doesn’t, and where uncertainty remains.
Benefits
- 22 annual leave days + 2 additional days per year of tenure (up to 6).
- 5 training days per year.
- Private health insurance via Tranquilidade.
- Meal/food allowance of €7.62 per worked day via Coverflex.
- 24/7 confidential Employee Assistance Program.
About the company
Marley Spoon is a food-tech company helping people cook better, eat smarter, and waste less. We build meal kits using data across menu planning, marketing, operations, and logistics. We’re hiring a Lead Data Scientist – Growth & Personalization in Portugal, in a remote-first setup (with the option to join colleagues in our Lisbon office for collaboration days).
Tags & focus areas
Used for matching and alerts on DevFound Remote Data Science Ai