Data Scientist

About the role

KAYAK is looking for a mid-level Data Scientist to build recommendation systems that improve how travelers discover and choose travel options. You will translate product and business questions into measurable modeling problems, develop and test solutions with data and experimentation, and partner with cross-functional teams to bring work into production.

Responsibilities

• 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.

Required skills

• Statistics
• Machine Learning
• Programming

Nice to have

• PyTorch
• Polars
• CometML
• Arize
• Docker
• Airflow
• Trino
• Git
• Github
• Agile

Qualifications

• Strong technical foundations in statistics, machine learning, and programming
• Hands-on experience developing ML models in business or production environments

Benefits

• Work from anywhere for up to 20 days per year
• Company-paid therapy sessions
• HeadSpace subscription
• Company-wide week off
• No meeting Fridays
• Paid parental leave
• Paid volunteer time
• Development Dollars
• Travel Discounts
• 6 weeks paid vacation

About the Company

KAYAK, part of Booking Holdings, is the world's leading travel search engine. The company operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined.