Data Scientist, Marketing

vor 1 Tag


Zurich, 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.

The marketing measurement team's mission is to improve Kayak's ability to measure the efficiency of marketing efforts. This role works closely with marketing leaders to make better data-informed strategic marketing decisions. KAYAK, momondo, OpenTable, and other brands are used by over 400 million active users.

**In this role, you will**:

- Experienced in marketing science measurement methodologies like Conversion lift on Facebook & geo-lift on Google, Marketing mix models, and Causal Impact
- Experienced in end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then completing and analyzing experiment results
- Defining new methodologies and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
- Experiment on marketing channels, primarily in AdWords, Facebook, Television, and YouTube. Analyze results from the on-site A/B testing platform
- Responsible for measurement methodologies and impact analysis for all marketing campaigns
- Forecasting business critical metrics and helping marketing teams for optimizing budget allocation across marketing channels
- Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
- Ability to multi-task and work on different projects simultaneously
- Possess structured thinking to build standardized and scalable solutions while adhering to deadlines
- Experience of working with kanban/scrum and agile framework is a plus
- Bachelor's/Master's Degree in Engineering or Computer Science or Mathematics, Business or related areas required
- Passionate about working with large, exciting data sets. Digital marketing, financial, and economic data is particularly relevant. Experience with AdWords, Facebook, and other paid marketing data is ideal. Time-series analysis, econometrics, general linear regression models, hierarchical estimation are examples of particularly relevant background.
- Extensive experience with data manipulation and extraction using relational databases (SQL)
- Experience with building mathematical models for real-world events/scenarios
- Ability to write high quality, scalable, maintainable code. (Python, R, Java)
- Phenomenal communication skills
- capable of bridging business and technology

**Benefits**:

- 5 weeks paid vacation
- Day off on your birthday
- Pension fund
- Monthly Lunch Checks
- Health Insurance subsidy
- Supplementary accident insurance
- No meeting Fridays
- Drinks, coffee, snacks, games etc.
- Regular team events/excursions
- Flexible hours

**Diversity and Inclusion**:



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