Senior Data Science - Dynamic Pricing & Revenue Management

• 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 with

• 3+ 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 i n your daily work — you experiment, adopt what works, and help push the boundaries of its usage.

Our adventure includes

• 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.

Need a sneak peek?

Check out the adventure that awaits you on Instagram @lifeatholidu and dive straight into the world of Tech at Holidu for more insights!

Want to travel with us?

Apply online on our careers page! Your first travel contact will be Adam from HR.

We are committed to diversity in all aspects of our business. We encourage applications from all genders, all corners of the world and all individual backgrounds. You are welcome to submit your application without a photo and without stating your gender, date of birth, marital status, nationality or disability status (if applicable). If you require any special assistance when arranging interviews, office visits or the recruitment process in general, please contact the relevant HR person responsible for this job and we will do our best to accommodate your needs.

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation