Jobs for Humanity is partnering with Booking to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name: Booking

About Booking.com

At Booking.com, we use data and technology to make it easier for everyone to explore the world. We're not just about numbers and code, but about the thrill of discovering new places, the friendships made, and the unforgettable experiences. With over 1.6 million room nights booked every day, we are focused on delivering the best customer experience and a wide range of properties for our users.

About the Team

The Data Scientist II is responsible for designing and implementing data science solutions. They work independently on tasks like data analysis, translating business problems into data stories, and applying statistical methods to solve complex issues. They collaborate with their team and occasionally with other teams to inform business decisions. They also provide guidance to junior colleagues and actively contribute to their community. The Data Scientist II plays a key role in influencing business decisions within their specific area.

Responsibilities:

• Owning the design and implementation of Data Science solutions from start to finish, based on business requirements.
• Working independently on consuming and preparing data for analysis, translating business problems into data stories, and solving them with statistical methods.
• Collaborating primarily within their team to inform business decisions, and occasionally across multiple teams.
• Designing and interpreting quantitative experiments to guide key business decision making.
• Identifying and managing stakeholders, effectively communicating complex analysis results, and guiding junior colleagues in stakeholder engagement.
• Being flexible and open to new approaches, while leveraging existing internal and external Data Science methods.
• Using Data Science to drive impact and learning to incorporate scalability and reproducibility in their work.
• Acting as a mentor and coach to junior peers, and actively contributing to community projects and activities.
• Staying updated about the broader data ecosystem at Booking and understanding how it relates to their work.
• Collaborating with peers in related fields to ensure smooth progress of individual projects.
• Understanding the goals of their area and contributing to the goals of their wider business unit.
• Ensuring the quality of their work through peer review.
• Influencing business decisions within their specific area.

Requirements:

• Experience solving real problems using data mining techniques and statistical rigor.
• Strong technical skills in data analysis, statistics, machine learning, and programming. Proficiency in Hadoop, Spark, SQL, Python, and/or R.
• Excellent communication skills.
• Ability to translate business problems into data problems.
• Strong stakeholder management skills.
• Proficiency in data visualization and storytelling with data.
• Knowledge of statistical methods and machine learning techniques.
• Understanding of data management and data science modeling.

Benefits:

• Located in vibrant Amsterdam, one of the most exciting cities in Europe.
• Opportunity to work on a high scale, world-renowned product and see the impact of your work on millions of travelers.
• Fast-paced and performance-driven culture.
• Utilize technical expertise, leadership capabilities, and entrepreneurial spirit.
• Promote and drive impactful and innovative engineering solutions.
• Opportunities for career advancement through on-the-job learning, experimental projects, conferences, and community participation.
• Competitive compensation and benefits package.

Booking.com is an equal opportunity employer, committed to creating an inclusive working environment. We embrace diversity and encourage all qualified applicants to apply, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Our goal is to create an environment where everyone can thrive.

Pre-Employment Screening: If your application is successful, your personal data may be used for pre-employment screening checks by a third party, as permitted by applicable law. This may include employment history, education, and other relevant information to determine qualifications and suitability for the position.