Overview
Your future team You'll join our Data Science team within the Business Intelligence department — a group of skilled, passionate data scientists who own Holidu's machine learning and advanced analytics use cases . We'll match you to one of the most impactful ML problem areas in the company — rankings and recommendations, price optimization, demand forecasting — where you'll embed in a cross-functional team and own the data science side end-to-end. You'll work with a large and rich dataset, fast paths from concept to production, and the autonomy to act on your own judgment. Holidu is an AI-first company , and it shows in how we work: your modelling stays grounded in machine learning and statistics, but you'll have large-scale access to the best AI tools and the freedom to weave them into everything you do — from discovery to implementation to maintenance. Everyone here experiments and shares what works, and we'll count on you to help push how far AI can take us. This role is based in Munich with two office days/week. Our Tech Stack Python • Airflow • dbt • AWS (SageMaker, Redshift, Athena) • MLflow Your role in this journey You'll own the data science and advanced analytics use cases in your problem area end-to-end and shape how machine learning creates value at Holidu. You will: Design, build, and own the predictive models at the core of your problem area — and take them from first prototype to production. Run your models in production — experiment, monitor performance, and iterate to keep accuracy and impact high. Spot the next opportunity yourself — identifying where data science can move the business and making the case for it. Drive the discussions around model choice, assumptions, and trade-offs with your cross-functional team and stakeholders across the company — you own the technical calls in your area. Continuously fold AI into your workflow — finding ways to make your models, processes, and pipelines smarter and more efficient. Shape the team's ML s
Full job description
Your future team You'll join our Data Science team within the Business Intelligence department — a group of skilled, passionate data scientists who own Holidu's machine learning and advanced analytics use cases . We'll match you to one of the most impactful ML problem areas in the company — rankings and recommendations, price optimization, demand forecasting — where you'll embed in a cross-functional team and own the data science side end-to-end. You'll work with a large and rich dataset, fast paths from concept to production, and the autonomy to act on your own judgment. Holidu is an AI-first company , and it shows in how we work: your modelling stays grounded in machine learning and statistics, but you'll have large-scale access to the best AI tools and the freedom to weave them into everything you do — from discovery to implementation to maintenance. Everyone here experiments and shares what works, and we'll count on you to help push how far AI can take us. This role is based in Munich with two office days/week. Our Tech Stack Python • Airflow • dbt • AWS (SageMaker, Redshift, Athena) • MLflow Your role in this journey You'll own the data science and advanced analytics use cases in your problem area end-to-end and shape how machine learning creates value at Holidu. You will: Design, build, and own the predictive models at the core of your problem area — and take them from first prototype to production. Run your models in production — experiment, monitor performance, and iterate to keep accuracy and impact high. Spot the next opportunity yourself — identifying where data science can move the business and making the case for it. Drive the discussions around model choice, assumptions, and trade-offs with your cross-functional team and stakeholders across the company — you own the technical calls in your area. Continuously fold AI into your workflow — finding ways to make your models, processes, and pipelines smarter and more efficient. Shape the team's ML s
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Verification notes
Atlas location:city; evidence: Munich
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