Data Scientist – Mid-level/Senior (all genders)

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.

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:

Your role in this journey

• 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 strategy together with your fellow data scientists — sharing knowledge, establishing best practices, and deciding where our modelling should go next.

• End-to-end experience as a Data Scientist, with a track record of applying data science to real business problems.

• A quantitative degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.

• Strong foundations in statistics, predictive modelling, and machine learning, with hands-on experience in Python and SQL.

• Hands-on experience with tree-based and gradient-boosting models (XGBoost, LightGBM, CatBoost) on large-scale tabular data.

• A proactive, self-starting mindset — you take charge of a topic, challenge your own assumptions, and see it through.

• Genuine enthusiasm for using AI in your daily work — you experiment, adopt what works, and help push the boundaries of its usage.

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.
• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.