Senior Data Scientist - Dynamic Pricing & Revenue Management (all genders)

Holidu; München; Hybrid; EUR 110.000 - 140.000; Vollzeit

Benefits dieser Stelle

Hybrid work model (50% in office)

Travel benefits

Gym discounts

Personal learning budgets

Zusammenfassung

Holidu is building a Dynamic Pricing & Revenue Management team in Munich and seeks a founding Senior Data Scientist. You will define ML models for pricing tens of thousands of holiday homes and own end-to-end data science strategies.

You’ll work with a large dataset, production-ready paths, and autonomous decision-making, with AI deeply embedded across discovery to maintenance. Hybrid work setup in Munich, flexible collaboration, and global impact.

Qualifikationen

• 3+ years of experience as a Data Scientist solving real business problems.
• Hands-on experience with tree-based and gradient-boosting models on large-scale data.
• Strong foundations in statistics, predictive modelling, and machine learning.
• Interest in pricing, revenue optimization or marketplace dynamics.

Aufgaben

• Design, build, and own predictive models for demand, price sensitivity, and conversion.
• Translate business questions into scientifically-testable approaches and actionable recommendations.
• Develop dynamic pricing strategies through data and experimentation.
• Run experiments in production, monitor performance, and iterate for accuracy.
• Be the technical reference for model choices and trade-offs within the team.
• Collaborate with Data Analysts and Data Engineers to define datasets and features.

Kenntnisse

Python

SQL

Statistics

Machine learning

XGBoost

LightGBM

CatBoost

Pricing

Revenue management

AI in production

Ausbildung

Quantitative degree (ML/CS/Math/Physics)

Tools

Python

SQL

Jobbeschreibung

Holidu is one of the world’s fastest-growing vacation rental technology companies. Our mission is to make booking and hosting holiday homes free of doubt and full of joy, by helping hosts generate more bookings with less work and helping guests find a holiday home they truly enjoy. Our team of 700 colleagues from 60+ nations shares a passion for tech, an ambition for constant improvement, and a relentless drive to bring the best experience to more than 40k vacation rental hosts and 4 million annual guests.

Your future team

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 Stack

Python

• Airflow
• dbt
• AWS (SageMaker, Redshift, Athena)
• MLflow

Your role in this journey

• 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 in 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.

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.

Location Munich, Germany