About Us
At Marley Spoon, we’re on a mission to make amazing, home-cooked meals easier, more enjoyable, and more sustainable. Since 2014, we’ve grown into a sophisticated global food-tech platform, delivering a diverse range of culinary solutions across six countries.
Today, our offering goes beyond Meal Kits. We also provide Ready-to-Heat meals and a growing Market of grocery items, giving our customers more flexible ways to enjoy quality food at home.
Behind every box is a smart, data-driven ecosystem — from intelligent systems and logistics to pricing, customer insights, and operational excellence. Our success is powered by lean, cross-functional teams who care deeply about quality, sustainability, and creating a better customer experience.
We believe growth is a shared journey. At Marley Spoon, you’ll be part of a supportive environment where people are encouraged to take ownership, learn from one another, and grow alongside the business.
About the Job
We are looking for a Lead Data Scientist who combines strong machine learning expertise, production engineering experience, and technical leadership. This person will help design, deploy, and scale data science solutions across the organization while supporting best practices across the team.
Required Technical Skills
Strong SQL expertise, with extensive experience using Snowflake or similar data platforms
Advanced Python programming skills, including strong knowledge of Pandas, Scikit-learn, data analysis, and feature engineering
Experience with workflow orchestration tools such as Airflow or similar
Experience building production ML pipelines and scalable data workflows
Familiarity with modern MLOps and cloud tooling, including MLflow, feature stores, AWS SageMaker, and Amazon S3
Strong knowledge of supervised learning, recommendation systems, and time series forecasting
Ability to research, evaluate, and improve ML models based on business needs
Software Engineering & MLOps
Strong understanding of software engineering best practices, including Git workflows, pull request reviews, CI/CD, Docker, testing, data integrity validation, and dependency/environment management
Experience writing clean, maintainable, and production-grade code
Ability to balance experimentation with production reliability and long-term scalability
Leadership & Collaboration
Strong communication skills with both technical and non-technical stakeholders
Experience mentoring teammates and promoting knowledge sharing
Ability to lead technical discussions and drive engineering best practices across the team
Strong ownership, problem-solving skills, and sound technical judgment
Additional Expectations
Comfortable using AI-assisted development tools with critical thinking and appropriate technical oversight
Able to translate business needs into practical, scalable data science solutions
About You
You’re a hands-on, technically strong Data Scientist who has already begun leading—and you’re excited about a role where you can both build and shape a function.
You’ll likely have:
6+ years in Data Science / ML, including 3+ years in a lead role delivering production ML.
Strong depth in at least one: recommender systems, experimentation platforms, growth analytics, or retention/churn modeling.
Proficiency in Python, SQL, and common ML tooling (scikit-learn, XGBoost, PyTorch, or similar).
Evidence you’ve tied models to outcomes (retention lift, conversion uplift, marketing ROI, operational efficiency, etc.).
Familiarity with modern data stacks (cloud warehouse like Snowflake or similar, BI tools like Looker, ML orchestration/deployment tooling).
Confidence communicating trade-offs, uncertainty, and results to both technical and non-technical partners.
A practical, collaborative mindset—optimizing for what works, scales, and gets adopted.
How We Work
This is a remote role within Portugal. We do periodic in-person meetups (workshops, planning, team days). You can join sessions in Lisbon or other hubs—no weekly office requirement.
You’ll be part of a Data Tribe spanning Data, Analytics, and ML across brands and markets, with peers who value craft, impact, and knowledge-sharing.
Day to day, you’ll work closely with Digital and Marketing, converting ideas into experiments and models into shipped product features.
Please note: we’re currently only able to consider candidates who already have the right to work in Portugal. We’re not able to sponsor visas for this role.
Benefits:
Hybrid work policy (remote + office).
22 annual leave days +2 days extra days for every year of tenure (up to 6).
5 training days per year.
Private health insurance provided by Tranquilidade.
Food allowance of 7.62€/worked day under by Coverflex.
24/7 confidential employee assistance program.
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