About Us
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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
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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