KAYAK Labs is looking for data scientists who are keen to tackle machine learning challenges in various domains such as recommender systems, reinforcement learning, and natural language processing.
The role involves designing and implementing solutions that enhance user experiences while optimizing key business metrics.
Candidates will work on experiments, rapid prototyping, and leveraging large datasets for impactful projects. The team focuses on innovation, utilizing machine learning and unique data assets to deliver novel products and improvements in the travel industry.
Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.
Required Qualifications and Skills
Candidates should be comfortable with math, statistics, systems design, and coding relevant to machine learning and data science challenges.
A PhD in a quantitative field such as computer science, statistics, mathematics, or engineering is preferred but not mandatory.
Exposure to core concepts of machine learning and experience applying them to real-world problems is necessary. Proficiency with current Python development ecosystems for machine learning is also required.
Disclaimer : Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies.
The full external job listing link should always be relied on for authoritative information.
At KAYAK, we help millions of travelers around the globe make confident travel decisions. As the world’s leading travel search engine, KAYAK searches other sites to show travelers the information they need to find the right flights, hotels, rental cars and vacation packages.
And because we aim to help travelers explore the world more confidently, we’re always on the lookout for ways to make travel planning and trip management easier offering up a variety of tools and features such as KAYAK Trips, Explore, Price Forecast and our constantly evolving app and A.
I. innovations.KAYAK is part of a global network that includes our sister brand OpenTable, as well as a portfolio of travel metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined.
Collectively, we’re uniquely equipped to help people experience the world through travel and dining.KAYAK is part of Booking Holdings Inc.
and operates sites in more than 70 countries and territories.KAYAK will never request payment(s) from its candidates for open positions.
If you have ever been contacted about a job at KAYAK by phone / Whatsapp or email, and have been asked to provide a Credit Card, wire transfer or crypto payment, please be aware that KAYAK is not associated with this outreach.
If you receive a suspicious request regarding a career opportunity at KAYAK, please report it to us.To find out more, visit KAYAK.com.
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