Your Mission
We are looking for a Data Scientist to join our Product Analytics and Center of Excellence team at Too Good To Go. In this role, you will help build and scale data science capabilities across product and business domains, enabling smarter, more automated, and more impactful decision-making. As a marketplace, many of our most critical challenges revolve around supply-demand dynamics, user behavior, and marketplace efficiency. You will work on problems such as personalisation, optimisation, and forecasting, helping us move from reactive analysis to proactive, model-driven systems. You will work as part of the Center of Excellence, partnering closely with Product, Analytics, and business teams through high-impact, project-based collaborations.
Your Role
- Partner with Product and business leaders to identify high-impact opportunities where data science can drive step-change improvements.
- Develop and deploy machine learning models and statistical methods to solve problems such as: Personalisation and recommendation systems, Marketplace optimisation (e.g. ranking, matching, supply-demand balance) and Demand and supply forecasting.
- Translate ambiguous business problems into scalable models, algorithms, and data products.
- Design and contribute to experimentation and measurement frameworks to evaluate impact.
- Collaborate closely with Product Analysts, ML Engineers, and stakeholders within the Product Analytics and Center of Excellence, working in an embedded, project-based model.
- Take end-to-end ownership, from problem framing to model development and impact evaluation.
- Contribute to building data science best practices, tools, and standards across the company.
Requirements
- Master’s degree or PhD in Data Science, Statistics, Machine Learning, Econometrics, or a related field.
- Strong experience applying machine learning and statistical modeling to product or business problems.
- Experience in at least one of the following areas: Personalisation / recommendation systems, Marketplace or optimisation problems, Forecasting (time series or causal).
- Strong programming skills in Python and solid proficiency in SQL.
- Experience with experimentation (A/B testing) and impact measurement.
- Ability to operate in ambiguous problem spaces and translate them into structured solutions.
- Strong communication skills — able to influence product and business stakeholders.
- High ownership and comfort working in a fast-paced, evolving environment.
- Fluent in English, with excellent written and verbal communication skills.