Senior Data Scientist
· AMSTERDAM, Netherlands ·
- Seniority
- Senior
- Category
- Data science
Senior Data Scientist at Just Eat (Amsterdam) building and deploying machine learning models that optimize offer allocation in marketing campaigns across global markets. Day to day involves leading end-to-end DS/AI projects using causal inference, uplift modelling, optimisation, LLM tools, and RCTs, with production-grade ML pipelines on cloud infrastructure.
Ready for a challenge? Then Just Eat might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience.
Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
About this role Within the Promotion and Optimisation department, as a Senior Data Scientist, you will drive the intelligence behind our marketing campaigns. Sitting at the intersection of advanced machine learning and commercial reality, you will build models that optimize offer allocation across millions of users and global markets.You will lead end-to-end data science and AI projects, from ideation and model design to production deployment. You will utilise causal inference, uplift modelling, optimisation techniques, and advanced LLM tools to solve complex marketing decisions.
Furthermore, you will act as a bridge between data science and the business, using causal measurement to evaluate the real-world impact of our strategies and proactively identifying new opportunities to improve promotion efficiency and customer experience. You will ensure our technical solutions are robust, scalable, and impactful.
These are some of the key components to the position: - Project Leadership & Innovation: Take full ownership of complex DS projects, aiming high to spot ML opportunities that reduce wasted spend and drive order growth.
- Advanced Modeling & Optimisation: Develop models predicting incremental impact per user, offer, and market to drive excellence across all promotional strategies.
- AI Engineering & Production: Design and deploy scalable, production-grade code and ML pipelines integrated seamlessly into cloud infrastructure.
- Causal Inference & Experimentation: Apply causal inference methods and randomized controlled trials (RCTs) to measure true increment
Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
About this role Within the Promotion and Optimisation department, as a Senior Data Scientist, you will drive the intelligence behind our marketing campaigns. Sitting at the intersection of advanced machine learning and commercial reality, you will build models that optimize offer allocation across millions of users and global markets.You will lead end-to-end data science and AI projects, from ideation and model design to production deployment. You will utilise causal inference, uplift modelling, optimisation techniques, and advanced LLM tools to solve complex marketing decisions.
Furthermore, you will act as a bridge between data science and the business, using causal measurement to evaluate the real-world impact of our strategies and proactively identifying new opportunities to improve promotion efficiency and customer experience. You will ensure our technical solutions are robust, scalable, and impactful.
These are some of the key components to the position: - Project Leadership & Innovation: Take full ownership of complex DS projects, aiming high to spot ML opportunities that reduce wasted spend and drive order growth.
- Advanced Modeling & Optimisation: Develop models predicting incremental impact per user, offer, and market to drive excellence across all promotional strategies.
- AI Engineering & Production: Design and deploy scalable, production-grade code and ML pipelines integrated seamlessly into cloud infrastructure.
- Causal Inference & Experimentation: Apply causal inference methods and randomized controlled trials (RCTs) to measure true increment