Job description

This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.

About Booking.com

At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.

With over 1.6 million room nights booked every day, accommodation represents the largest share of our business to date. Our mission is to deliver the best customer experience and the most varied selection of properties.

At Booking.com we combine the best traits of a start-up with the resources of planet Earth’s #1 accommodation website. We are working towards creating the ultimate travel experience, building and improving great products for both travelers and the accommodation partners.

About The Team

Customer Marketing is a multi-channel, ever-changing, complex and high business impact area. Our mission is to increase value for our customers via personalized communication using the right channel, at the right time, with the right message.

You will work within a data science and analytics team, and with stakeholders throughout the company, to generate understanding, strategy and guide key decision making based on data. You spend your time doing practical data science work to transform complex data sets into pragmatic insights which you provide through skilled story-telling.

You are expected to combine sound business understanding, data handling, programming, statistical modeling and data visualization to derive actionable information from broad sets of data while valuing pragmatism over perfection.

B.responsible

  • Responsible for defining the strategy and vision for generating impact in one or more Data Science solutions by driving it from ideation to prototyping to full productionisation.
  • Responsible for proactively identifying and autonomously prioritizing impactful strategic business problems, translating them into data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from product stakeholders in all of the above to determine the right technical solutions to deliver customer value. May seek guidance from the manager on complex business problems.
  • Responsible for driving key projects within the scope of their team to deliver work that informs business decisions across multiple products / business topics in parallel and/or core products / business topics of the area they work in, while self-prioritizing at high velocity. Regularly collaborating across multiple teams.
  • Responsible for designing and interpreting quantitative experiments to objectively drive long-term strategic business decision making.
  • Responsible for autonomously identifying and managing a broad range of stakeholders, from operational to senior managerial roles and, as required, Director level stakeholders. Maintains effective communication, addresses stakeholder needs, and conveys complex analysis results clearly. Continues to guide less experienced colleagues in all of the above, but may seek guidance from the manager in complex situations with senior stakeholders.
  • Responsible for exploring and modifying existing internal and external Data Science approaches. Makes these solutions reusable by designing for easy adoption and proactively educating and upskilling peers on how to effectively utilize these solutions in their work.
  • Responsible for incorporating scalability, reproducibility and long term orientation in the work they do. Regularly sharing best practices with peers in their area.
  • Responsible for acting as a force multiplier for peers in their area by actively helping them with their craft through means of coaching, mentoring and setting a good example.
  • Responsible for contributing significantly to the community of their area by thinking of and implementing ways to make other data professionals more effective (ie. group trainings, community projects), actively participating in community strengthening activities (ie. recruitment) and connecting their area to the rest of the business.
  • Must have a deep understanding of the larger data ecosystem at Booking and how it relates to the work they do.
  • Responsible for proactively collaborating with peers in related crafts (ie. Data Engineering) on all projects owned by their team, anticipating data needs to maintain smooth execution of projects.
  • Responsible for having significant deep knowledge about the operational, tactical and strategic goals of their area (ie. track / vertical) and be knowledgeable of the goals of their wider area (ie. Business Unit).
  • Responsible for ensuring quality of their own work by validating it through peer review.
  • Responsible for influencing business decisions within their wider area (ie. track / vertical).
  • Must be a subject-matter expert in one area of Data Science (ie. methodology, technology) and its application as an end-to-end product that generates business impact, acting as a go-to Data Science authority for senior business stakeholders of their area.

B.skilled

  • Minimum 5 years of experience in a relevant role
  • Expert in solving real problems using data mining techniques and with statistical rigor
  • Expert technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark, SQL, Python and/or R.
  • Excellent communication skills
  • Expert in translating business problems into data problems
  • Expert data visualization skills
  • Strong skills in storytelling with data
  • Expert in statistics and experimentation
  • Strong knowledge of data management (engineering, data pipelines, workflows)
  • Expert knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling

B.Offered

  • Headquarters located in one of the most vibrant cities in Europe: Amsterdam
  • 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, behavioural 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

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

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.

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