
Staff Data Scientist (all genders)
Primary stack
Job description
About the Position
Staff Data Scientist (all genders)
About the Role
We are seeking a Staff Data Scientist to join our AI-first team at Holidu, based in Munich, Germany. This is a brand-new role where you will bring deep expertise and hands-on excellence to our hardest, most ambiguous ML problems. You'll set technical direction, raise the bar, and multiply the impact of everyone around you, while staying hands-on in the code and the models.
This role is based in Munich with two office days/week.
Responsibilities
As a Staff Data Scientist, 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.
Requirements
- 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.
- 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.
Tech Stack
- Python
- Airflow
- dbt
- AWS (SageMaker, Redshift, Athena)
- MLflow
We Offer
- Competitive salary
- Hybrid work environment
- Professional growth opportunities
- Collaborative and innovative team
About the Company
Holidu is an AI-first company where 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.
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.
Apply Now
Check out the adventure that awaits you on Instagram @lifeatholiduand dive straight into the world of Tech at Holidu for more insights!
Apply directly here! Your first travel contact will be Adam from HR.
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.
© Holidu GmbH. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Holidu is building the world’s best search engine for vacation rentals. Our mission is to make finding and booking the perfect rental finally easy. We are on this journey in a rapidly growing team of travel and technology enthusiasts from all over the world. Our travel mates also include investors and mentors who have helped companies such asBooking.com, Spotify and Zalando to achieve global success. So, pack your bag, hop on board and get ready for take off!Our office is in Munich, Germany.
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