Hybrid job

Hybrid

Senior Data Science - Dynamic Pricing & Revenue Management

Holidu

Source: AshbyLocation: Munich · Check country restrictionsPublished: Sep 25, 2026Confirmed active: Oct 09, 2026
Full-timeTechnology50-200

Key points from the posting

Tech stack
PythonAirflowdbtAWSSageMakerRedshiftAthenaMLflowSQLXGBoostLightGBMCatBoost
Seniority:
Senior
Benefits
  • Mentorship
  • Personal learning budgets
  • Hybrid setup
  • Travel benefits
  • Gym discounts

Automatically extracted

Our assessment

  • The posting states no salary. Comparable roles in our index (14 postings): median 3,713 euros per month, middle range 2,598 to 4,375 euros.
  • 8 more open roles from this employer in our index.

Automated assessment by nomado24, not an employer statement.

Job description

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

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

  • 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.

Need a sneak peek?
Check out the adventure that awaits you on Instagram @lifeatholidu https://www.instagram.com/lifeatholidu/?hl=de and dive straight into the world of Tech at Holidu https://www.holidu.com/careers/tech 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 …

ashbyTechData Science / Analytics / EngineeringHybrid

This role is provided by an external source. Applications are handled on the source website.

New remote jobs like “Data Science” by email

Only when something fitting appears. Free, unsubscribe any time.

Confirm by email. Unsubscribe anytime. Privacy Policy.

All Remote Data Jobs

Or let us search for you

Matching job categories

Not the right job?