Senior Data Scientist

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine.

As a Senior Data Scientist on this team, you will have the opportunity to develop the frameworks and roadmaps to tackle marketing measurement challenges in an efficient way, work with the stakeholders to align on priorities, and closely work your team to build the robust measurement and experimentation solutions!

In this role, you will:

• Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
• Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
• Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
• Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
• Build standardized and scalable solutions, and lead from front in setting up the best practices

Please apply if you have:

• Advanced degree (Masters, PhD) in Data Science, Statistics or a related field.
• Extensive experience with data manipulation and extraction using relational databases (SQL)
• Ability to write high quality, scalable, maintainable code (Python, R)
• Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
• Strong foundation in experimentation methods and causal inference techniques
• Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
• Proactive work style, needing minimal guidance and demonstrating good judgment
• Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
• Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models

Benefits:

• 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
• Paid volunteer time
• Focus on your career growth: Development Dollars, Leadership development, Access to thousand of on-demand e-learnings
• Travel Discounts
• Employee Resource Groups
• 5 weeks paid vacation
• Social events & Thursday happy hours
• Free lunch 2 days per week
• Pension plan contributions
• Supplemental accident insurance
• 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