Senior Data Science - Dynamic Pricing & Revenue Management

We're building Holidu's Dynamic Pricing & Revenue Management team from the ground up, and we're looking for a skilled and driven founding Senior Data Scientist. You'll define the machine learning models and data science strategy behind how we price tens of thousands of holiday homes — working within a dedicated, cross-functional Revenue Management team. The shared goal: help hosts improve occupancy and earnings through smart, dynamic, data-driven pricing, with machine learning at its core. 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 us to stay at the cutting edge. This role is based in Munich with a hybrid setup. Our Tech StackPython • Airflow • dbt • AWS (SageMaker, Redshift, Athena) • MLflow Your role in this journeyYou'll own pricing and forecasting models at Holidu end-to-end — from first prototype to production systems that move real revenue. You will: Design, build, and own predictive models for demand, price sensitivity, and conversion probability. Translate business questions into scientific, testable approaches and clear, actionable recommendations. Explore and develop dynamic pricing strategies (e.g. weekend pricing, early-bird discounts, regional similarities) through data and experimentation. Run experiments in production, monitor performance, and iterate to keep accuracy and relevance high. Own the calls on model choice, assumptions, and trade-offs — you'll be the technical reference point for the team. Collaborate closely with Data Analysts and Data Engineers to define datasets, features, and model requirements and raise the bar for data science across the team. Continuously fold AI into how you work — finding smarter, faster ways to build, ship, and maintain your models and workflows. Your backpack is filled with3+ years of experience as a Data Scientist, solving a variety of real business problems (we care about what you've built, not your exact title or tenure). 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 genuine interest in pricing, revenue optimization, or marketplace dynamics (prior revenue management experience is a plus, not a must). A proactive, self-starting mindset — you love to own a domain and shape it end-to-end. Genuine enthusiasm for using AI in your daily work — you experiment, adopt what works, and help push the boundaries of its usage. Our adventure includesImpact: 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 o