Staff Data Scientist (all genders)

We are seeking a Staff Data Scientist to join our Data Science team. As the most senior individual contributor, you will bring deep expertise and hands-on excellence to our hardest, most ambiguous ML problems. You will set technical direction, raise the bar, and multiply the impact of everyone around you.

Responsibilities

• 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.

Benefits

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other.
• Technology: Work in a modern tech environment.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.
• Perks on Top: Travel benefits, gym discounts, and other perks to keep you energized.

Tech Stack

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