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Senior Data Science - Dynamic Pricing & Revenue Management Holidu · Munich
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Holidu

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Senior Data Science - Dynamic Pricing & Revenue Management

🗓️ Posted 2026-09-25 Munich Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 6,500 EUR–9,500 EUR/mo

About the Company

Find your home for holiday happiness - Join our mission Holidu is one of the fastest-growing travel tech companies worldwide. Our mission is to make the booking and hosting of holiday homes free of doubt and full of joy. Through the booking portal, guests can book their vacation accommodation with complete peace of mind and confidence. With its software and service platform, Holidu enables hosts to attract more bookings while minimizing effort. Our team of more than 600 colleagues from 60+ nations is based in Munich and in some of the most attractive travel destinations across Europe. IT Services and IT Consulting Specialties: Vertical search, Metasearch, Vacation rentals, Holiday homes, Price comparison, Search engine, Travel, Startup, Venture Capital, eCommerce, Hospitality, Tech

Responsibilities

  • ● 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 STACK
  • ● AWS (SageMaker, Redshift, Athena)
  • ● YOUR ROLE IN THIS JOURNEY
  • ● You'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 WITH
  • ● + 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.