At a glance
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- Zurich
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 promising 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.
Requirements
- Strong technical foundations in statistics, machine learning, and programming, backed by a track record of solving complex, real-world data science problems.
- 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.
Preferred qualifications
- 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.
Benefits
- Work from (almost) anywhere for up to 20 days per year
- Company-paid therapy sessions through SpringHealth
- Company-paid subscription to HeadSpace
- Company-wide week off a year
- No meeting Fridays
- Paid parental leave
- Paid volunteer time
- Development Dollars
- Leadership development
- Access to thousands of on-demand e-learnings
Workplace
- This role will be required to work from our Zurich office 3 days per week.
Skills
- PyTorch
- Polars
- CometML
- Arize
- Docker
- Airflow
- Trino
- Git
- GitHub
