Staff Data Scientist (all genders)

About the Company

Responsibilities

• ● 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 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 lead the way.
• ● This role is based in Munich with two office days/week.
• ● OUR TECH STACK
• ● AWS (SageMaker, Redshift, Athena)
• ● 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.