Principal Data Scientist Zurich

Kayak; Zürich; Hybrid; CHF 90’000 - 130’000; Vollzeit

Zusammenfassung

A leading travel company is seeking a resourceful data scientist to tackle complex machine learning challenges. You will implement innovative solutions to enhance user experiences and drive impactful projects in a hybrid work environment. Join us to shape the future of travel!

Leistungen

Work from (almost) anywhere for 20 days per year

Company-paid therapy sessions

Company-wide week off annually

No meeting Fridays

Paid parental leave

Generous paid vacation

Development Dollars

Free lunch 2 days per week

Health insurance subsidy of 250 CHF/month

Pension plan contributions

Qualifikationen

• Deep expertise in math, statistics, and systems design.
• Proven experience in applying machine learning to real-world problems.
• Comfortable rapidly testing and iterating on new ideas.

Aufgaben

• Design and implement solutions to improve user experience.
• Conduct experiments and engage in rapid-prototyping.
• Communicate results clearly and collaborate with teams.

Kenntnisse

Machine Learning

Data Science

Python

Statistics

Ausbildung

PhD in a quantitative field (preferred)

Tools

PyTorch

TensorFlow

pandas

scikit-learn

git

Jobbeschreibung

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We’re also transforming business travel with a new corporate travel solution, KAYAK for Business.

As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world.

KAYAK seeks a resourceful, agile data scientist with a strong curiosity about solving challenging machine learning problems across a range of domains and modalities, from recommender systems to reinforcement learning to vision to natural language processing. 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, to delight our users, and to help our customers experience the world with confidence and peace-of-mind.

Note: This is a hybrid work role for candidates who can join at least 3 days per week in-office.

In this role, you will:

• 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 data sets to drive successful projects.
• Engage in group problem-solving, and collaborative team efforts.
• Communicate and share results in a clear and concise manner.
• Collaborate with strong researchers, product managers and engineers, and your work will have tangible impact

Please apply if you are/have:

• Deep expertise in math, statistics, systems design, and 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, etc.) is preferred and is a strong indicator of preparation, though not strictly required: what you can do (or rapidly learn to do) is more important.
• 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 or TensorFlow, pandas/polars, scikit-learn, git, etc.

Bonus Qualifications

• Solid foundation in software engineering principles, with experience leading or mentoring in individual or team-based technical development.
• Demonstrated success applying ML/AI in a business environment, including shaping high-level business problems into concrete modeling tasks.
• Hands-on experience with data engineering practices, including ETLs, relational databases, and large-scale data frameworks such as Trino
• Prior experience with ML engineering and/or MLOps, including deploying, maintaining, and monitoring machine learning models in production environments.

Do you want to be challenged and have an opportunity to shape our business? If you're interested in exploring new technologies at the intersection of AI, data engineering, computation, and product delivery at scale, then join us to help shape the future of travel!

Benefits and Perks

• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being:
  • Company-paid therapy sessions through SpringHealth
  • Company-paid subscription to HeadSpace
  • Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
  • No meeting Fridays
• Paid parental leave
• Generous paid vacation + time off for your birthday
• Focus on your career growth:
  • Development Dollars
  • Leadership development
  • Access to thousand of on-demand e-learnings
• Travel Discounts
• Employee Resource Groups
• Social events & Thursday happy hours
• Free lunch 2 days per week
• Pension plan contributions
• Health insurance subsidy of 250 CHF per month
• Lunch Check Card of 180 CHF per month
• Profawo membership which is a non-profit organization dedicated to promoting the compatibility of family and work

Diversity, Equity, and Inclusion

At OpenTable/KAYAK, we aspire to be a workplace that fosters inclusion and reflects the diverse communities we serve. Hiring people with different backgrounds and perspectives is critical to innovation and to how we deliver great experiences for our users, partners, and teams. We strive to be an open and welcoming environment so that no matter who you are, you can be yourself.

We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request an accommodation(s).

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KAYAK Software Corporation, OpenTable, Inc., their respective subsidiaries and Momondo A/S (together, ‘KAYAK and OpenTable”, “our/we/us”, or “Company”) will process your personal data in accordance with applicable data protection laws for the purposes described in our privacy notice (KAYAK (Germany) /OpenTable (Germany) andKAYAK (All Other Locations) /OpenTable (All Other Locations) ). As part of the application process KAYAK and/or OpenTable may share your personal data across our group of companies, subject to our privacy notice and applicable laws. In order to consider you for new positions, KAYAK and/or OpenTable may keep your personal data for 6 months (within the EU) and 2 years (in all other regions), unless otherwise required by applicable law.

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