A key leadership role in Performance Marketing department. You will lead a team of experienced Machine Learning Scientists, accountable for driving the next strategic directions for optimizing online bidding strategy on top of the most prominent online travel agencies, managing one of the largest performance marketing budgets in the industry, and ensuring Bookings.com’s competitive edge in the complex dynamics of the bidding marketplace and online auction mechanisms. This role requires a unique combination of deep theoretical expertise around optimization methodologies, auction theory and state of the art machine learning, together with extensive experience in driving solutions for real-world large scale optimization problems and business products.
Key Job Responsibilities and Duties:
Leadership in developing the next strategic solutions and driving business impact for bidding and optimization of Booking ads on top of the leading online travel agencies - lead, coach and mentor a team of machine learning scientists at a fast pace environment of innovation and development of machine learning and optimization algorithms tailored to the performance marketing domain.
Leadership in innovation management of the research cycle, involving POC, model development and large-scale AB testing phases, for driving customer engagement while maximizing the efficiency of performance marketing spend.
Continuously driving measurable business impact, fully utilizing the various optimization levers in the bidding and optimization space
Driving a culture of protagonism, ownership and craft excellence within the team and foster close collaborative relationships between the team and the larger organization
Continuously grow and develop the talent in the team and facilitate ways of working that foster the foundations on top of which the team can deliver business impact
Extensively work together with senior management to align on business objectives and financial goals
Role Qualifications and Requirements:
Proven record in leading applicative research teams which own the development of innovative machine learning and optimization solutions for large-scale domains.
Proficiency in large-scale optimization methodologies and auction mechanisms
Proven record of teams development and building and maintaining a culture of high-pace innovation
Proven Impact: A track record of delivering measurable business value through the development and implementation of large-scale machine learning models.
Strong working knowledge of Python, SQL/BigQuery, Spark
Excellent communication skills
Level of Education: Master’s degree or PhD required (Computer Science, Engineering, Mathematics, Artificial Intelligence, Physics)
Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit
Living and working in Amsterdam, one of the most cosmopolitan cities in Europe
Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide
Working in a fast-paced and performance driven culture
Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com
Application Process:
Let’s go places together:
This role does not come with relocation assistance.
Pre-Employment Screening
If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.
