Staff Data Scientist (all genders)

Holidu GmbH; München; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Travel benefits

Gym discounts

Personal learning budgets

Hybrid work setup

Zusammenfassung

Holidu is seeking a Staff Data Scientist based in Munich to lead flagship ML initiatives end-to-end. You will architect, build, and ship models powering our critical applications, while setting standards for the Data Science team and mentoring colleagues.

You’ll partner with leadership to shape the ML roadmap and champion AI across workflows. You will work hands-on with large-scale data, driving production-quality systems, and influencing decisions across ranking, pricing, forecasting, and more.

Qualifikationen

• Substantial experience as a Data Scientist / ML practitioner with 5+ years.
• A quantitative degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.
• Deep expertise across statistics, predictive modelling, and machine learning, with the ability to ship production-quality systems.
• Hands-on experience with tree-based and gradient-boosting models (XGBoost, LightGBM, CatBoost) on large-scale tabular data.
• History of technical leadership — capable of mentoring others and raising team craft.
• Proactive, ownership-driven mindset — you tackle hard problems and drive outcomes.
• Clear communication for both technical and non-technical audiences.
• Genuine enthusiasm for using AI in daily work — experiment and adopt what works.

Aufgaben

• Own flagship ML initiatives end-to-end — architect, build, and ship models that power key applications.
• Set technical direction and standards for the Data Science team: modelling approaches, experimentation, MLOps, code quality.
• Mentor data scientists, review designs/models, and raise the team’s craft.
• Partner with leadership to shape the company-wide ML roadmap and unlock value.
• Champion AI across workflows, integrating it into data science processes and systems.
• Communicate trade-offs and recommendations to technical and non-technical audiences.

Kenntnisse

Data science

Machine learning

Python

Statistical modelling

Leadership

Communication

AI deployment

Ausbildung

Advanced degree in ML/CS/Math/Physics

Tools

XGBoost

LightGBM

CatBoost

Python

Airflow

dbt

SageMaker

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

This is a brand-new role. As the most senior individual contributor on our Data Science team, you'll bring deep expertise and hands‑on excellence to our hardest, most ambiguous ML problems — setting technical direction, raising the bar, and multiplying the impact of everyone around you, while staying hands‑on in the code and the models. You might embed in a single domain like ranking or dynamic pricing, or work across the whole portfolio — churn, cancellations, marketing, forecasting and beyond — depending on your strengths and interests. 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 anAI-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 lead the way.

This role is based in Munich with two office days/week.

Our Tech Stack

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

Your role in this journey

As Staff Data Scientist, you’ll build the most critical models, review and improve what the team ships, and steer our technical choices. You will:

• Own flagship ML initiatives end-to-end — architecting, building, and shipping the models our most important applications run on, and proving their impact.
• Set technical direction and standards for the Data Science team: modelling approaches, experimentation rigor, MLOps, and code quality.
• Act as a force multiplier— mentor data scientists, review designs and models, and level up the whole team’s craft.
• Partner with leadership to shape the company-wide ML roadmap, spotting where data science can unlock the most value next.
• Champion AI across the team — continuously integrating it into our data science workflows and finding ways to make our processes and systems smarter and more efficient.
• Bring clarity to complexity — communicate trade-offs and recommendations to both deeply technical and non-technical audiences.

Your backpack is filled with

• Substantial experience as a Data Scientist / ML practitioner (typically 5+ years), with a clear track record of shipping high-impact models to production end-to-end (we care about what you've built, not your exact title).
• A quantitative degree in Machine Learning, Computer Science, Mathematics, Physics, or a related field.
• Deep expertise across statistics, predictive modelling, and machine learning, with the judgment to pick the right approach — and the engineering skill to ship robust, production-quality systems, with or without AI writing the first draft.
• Deep, hands‑on experience with tree‑based and gradient‑boosting models (XGBoost, LightGBM, CatBoost) on large‑scale tabular data.
• A history of technical leadership — you set direction, mentor others, and leave every team you touch stronger.
• A proactive, ownership‑driven mindset — you naturally take the hardest problem in the room and see it through.
• Clear communication — you make complex ideas simple for technical and non-technical audiences alike.
• Genuine enthusiasm for using AI in your daily work — you experiment, adopt what works, and set the example for others.

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.

Want to travel with us?

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.