Travel Data Scientist
KAYAK, the world's leading travel search engine, is seeking a resourceful data scientist to drive innovation and growth. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, and vacation package.
As a key member of our team, you will be part of a dynamic company that operates a portfolio of global metasearch brands, including momondo, Cheapflights, and HotelsCombined. Our focus is on building the best travel search engine to make it easier for everyone to experience the world.
We are looking for a talented data scientist with a strong curiosity about solving challenging machine learning problems across a range of domains and modalities. Good candidates will be well-versed in recent advances in machine learning and will be comfortable quickly testing and iterating on new ideas.
This position is focused on experimental projects and innovation across the business. Leveraging ML/AI, optimization, and our unique data assets, we strive for novel, impactful products and breakthrough improvements. We seek to distinguish our brand, delight our users, and help our customers experience the world with confidence and peace-of-mind.
* Design and implement your own solutions to modeling problems to improve user experience and enhance business outcomes.
* Conduct experiments and engage in rapid-prototyping of ideas, making creative use of the data and resources at your disposal.
* Implement designs in a stable, maintainable, and scalable production-ready form.
* Extract, process, and leverage large datasets to drive successful projects.
* Engage in group problem-solving, collaborative team efforts.
* Communicate results in a clear and concise manner.
* Collaborate with researchers, product managers, engineers.
Required Skills:
* Deep expertise in math, statistics, systems design, coding sufficient to lead and solve complex industrial machine learning and data science challenges. A PhD or equivalent in an aligned quantitative field (computer science, statistics, mathematics, operations research, engineering) is preferred.
* Proven experience applying core concepts and methods in machine/deep learning to real-world data science problems, with a strong track record of measuring and influencing impact at scale.
* Proficient with current Python machine learning development ecosystems: PyTorch, TensorFlow, pandas, polars, scikit-learn, git.
Benefits:
* Flexible work arrangements to balance work-life harmony.
* Mental health support through company-paid therapy sessions and mindfulness tools.
* Paid parental leave and generous paid vacation time.
* Professional development opportunities, leadership training, access to e-learning resources.
About Us:
At KAYAK, we aspire to be a workplace that fosters inclusion and reflects the diverse communities we serve. We ensure individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process.