Lead Data Scientist

vor 4 Monaten

Zürich ZH, Schweiz KAYAK Vollzeit

As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel.

**Position**:
KAYAK Labs is a cross-cutting team focused on experimental projects and innovation across the business. Leveraging ML/AI, optimization, and our unique data assets, we aim 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.

As part of the Labs team, you'll collaborate with strong researchers and engineers, and your work will have tangible impact. You will be challenged; you will have an opportunity to shape our business and, by extension, the wider travel industry. You will expand your competence and explore new technologies at the intersection of AI, data engineering, computation, and product delivery at scale.

**In this role, you will**:

- Design and implement your own solutions to modeling problems that will improve user experience, and optimize key metrics important to the business.
- 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.
- Comfortable with math, statistics, systems design and coding to the extent necessary to tackle industrial machine learning and data science challenges. A PhD in an aligned quantitative field (computer science, statistics, mathematics, operations research, engineering, etc.), is preferred and is a good indicator of sufficient preparation, but is not strictly required: what you can do (or quickly learn to do) is more important.
- Proficient with current Python machine learning development ecosystems: PyTorch or TensorFlow, pandas/polars, scikit-learn, git, etc.

**Bonus Qualifications**:

- Exposure to software engineering, whether individual or team-based.
- Hands-on experience with data engineering principles and methods: ETLs, relational databases, large-scale data frameworks like (Py)Spark.

**Benefits**:

- Vacation: you accrue 25 days a year
- One Celebration Day per calendar year
- Wedding days: 2 days off for your own wedding and 1 day for a relative´s and a Moving Day
- Work from (almost) anywhere; wherever you do your best work.
- 10 weeks of paid parental leave for fathers
- Social Committee: Join in and become involved in organizing/creating our fun office outings
- Pension Scheme with AXA: Foundation for Occupational Benefits, Winterthur. We offer retirement credits to fund your pension contributions.
- Supplementary Accident Insurance: We offer supplemental accident insurance with Schweizerische Mobiliar Versicherungsgesellschaft AG.
- Health insurance subsidy of 250 CHF per month
- Lunch Check Card of 180 CHF per month

**Diversity and Inclusion**:

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