Data Scientist, KAYAK

• 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
• 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
• Fluency with AI-assisted workflows, leveraging modern tools to improve productivity and quality while critically evaluating their outputs and limitations
• Curiosity, humility, and a collaborative mindset, with a commitment to continuous learning, sharing knowledge, and improving together

Desirable

• KAYAK is looking for a mid-level Data Scientist to build recommendation systems that improve how travelers discover and choose travel options
• You’ll translate product and business questions into measurable modeling problems, develop and test solutions with data and experimentation, and partner with researchers, engineers, and cross-functional teams to bring promising work into production.
• Your work will improve the traveler experience and key business metrics across KAYAK
• 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
• Design and evaluate experiments, building rapid prototypes, assessing results rigorously, and iterating on promising ideas
• Collaborate across Data Science, Product, and Engineering, communicating findings, recommendations, and trade-offs clearly and concisely to both technical and non-technical audiences