Data Scientist

Join KAYAK as a mid-level Data Scientist, where you'll build recommendation systems to enhance the travel experience. You'll translate product and business challenges into measurable modeling problems, develop and test solutions, and collaborate with cross-functional teams. Your work will have a real-world impact on user experience and key business metrics. Enjoy flexible work options, team-wide time off, volunteer opportunities, wellness support, and career growth.

- Translate product and business challenges into well-defined modeling problems, hypotheses, and measurable objectives. - Ship production-ready, scalable Machine Learning solutions with real-world impact on user experience and key business metrics. - Collaborate across Data Science, Product, and Engineering, communicating findings, recommendations, and trade-offs clearly and concisely to both technical and non-technical audiences.

- Strong technical foundations in statistics, machine learning, and programming, backed by a track record of solving complex, real-world data science problems. Demonstrated capability matters more than academic credentials - Curiosity, humility, and a collaborative mindset, with a commitment to continuous learning, sharing knowledge, and improving together - Fluency with AI-assisted workflows, leveraging modern tools to improve productivity and quality while critically evaluating their outputs and limitations - Hands-on experience developing ML models in business or production environments, with the ability to clearly explain the problems addressed, your specific contributions, and the resulting impact - Ownership, sound judgment, and analytical thinking, with the ability to navigate technical trade-offs, work independently, and recognize when to seek guidance - Hands-on experience with technologies relevant to KAYAK’s stack, such as PyTorch, Polars, CometML, Arize, Docker, Airflow, Trino and Git/Github - Familiarity with Agile ways of working, such as sprint planning and team ceremonies