Senior Data Scientist

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.

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.

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
• Competitive retirement and health plans
• Free lunch 2 days per week
• Fun quarterly events such as boat trips, arcades, ski trips, Thursday happy hours, and more
  

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).