Staff Data Scientist

None  •  IT & Software  •  München, Germany

<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Staff Data Scientist | Build the Future of AI in Travel</strong></p><p>Do you want to define the technical direction of machine learning across an entire business?</p><p><br/></p><p>As a <strong>Staff Data Scientist</strong>, you'll be the most senior individual contributor within a high-performing data science team, tackling the company's hardest machine learning challenges whilst raising the technical bar for everyone around you.</p><p><br/></p><p>You'll remain hands-on, building production-grade models that power products used by millions, whilst influencing strategy, mentoring peers, and shaping the future of AI across the organisation.</p><p><br/></p><p><strong>What You'll Do:</strong></p><p>🚀 <strong>Lead Mission-Critical ML</strong> – Own the design, development and deployment of high-impact machine learning models that solve complex business problems across ranking, recommendations, forecasting, pricing, churn and beyond.</p><p>🧠 <strong>Set the Technical Standard</strong> – Define best practices for modelling, experimentation, MLOps and code quality, helping establish the technical direction for the entire Data Science function.</p><p>🤝 <strong>Multiply Team Impact</strong> – Mentor experienced data scientists, review models and technical designs, and help elevate the quality and effectiveness of everything the team delivers.</p><p>📊 <strong>Shape Product Strategy</strong> – Partner closely with engineering, product and leadership to identify where machine learning can unlock the greatest commercial value and influence long-term roadmap decisions.</p><p>🤖 <strong>Champion AI</strong> – Continuously explore and adopt the latest AI tools and techniques, embedding them into both machine learning solutions and day-to-day data science workflows.</p><p>🏗 <strong>Stay Hands-On</strong> – Build scalable, production-ready machine learning systems from concept through deployment, monitoring and continuous improvement.</p><p><br/></p><p><strong>The Team</strong></p><p>You'll join an experienced Data Science team within a wider Business Intelligence organisation, working alongside Data Scientists, Analysts and Data Engineers. This is a newly created Staff-level position, giving you the opportunity to shape both the technical direction and the culture of the team.</p><p><br/></p><p>You'll enjoy significant autonomy, fast paths from idea to production, and the chance to influence products used by millions of travellers across Europe.</p><p><br/></p><p><strong>What They're Looking For:</strong></p><p><br/></p><p>✅ Significant commercial experience building and deploying machine learning models in production (typically 5+ years)</p><p>✅ Deep expertise in statistics, predictive modelling and applied machine learning</p><p>✅ Strong hands-on experience with Python, SQL and modern ML tooling</p><p>✅ Experience building high-performance models using tree-based and gradient boosting techniques (XGBoost, LightGBM, CatBoost)</p><p>✅ Demonstrated technical leadership through mentoring, setting standards or leading complex ML initiatives</p><p>✅ Excellent communication skills with the ability to influence both technical and non-technical stakeholders</p><p>✅ Ownership mentality with a track record of solving ambiguous, high-impact problems</p><p>✅ Genuine enthusiasm for leveraging AI to improve products, workflows and engineering practices</p><p><br/></p><p><strong>What They Offer:</strong></p><p>💼 Hybrid working with approximately 50% office collaboration</p><p>🌍 Up to 8 weeks per year working from international locations</p><p>🎓 Personal learning budget plus dedicated learning days</p><p>🏋️ Discounted premium gym membership</p><p>🎁 Bonus, pension, private healthcare and additional employee benefits</p><p>🏡 Significant discounts on properties across their own platform</p><p><br/></p><p>📍 Munich, Germany (Hybrid)</p><p><br/></p> </div>

Job Overview
  • Datum der Veröffentlichung

    Jul 24, 2026

  • Kategorie

    IT & Software

  • Job Type

  • Standort

    München, Germany

  • Arbeitgeber

    Venture Up

  • Source

    LinkedIn