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Data Scientist II - FinTech

Amsterdam, Netherlands

At, 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 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.

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About the Team

Data Scientist II takes full ownership of the design and delivery of data science solutions, from ideation to implementation. They work independently on tasks like data consumption, preparation, and the translation of business problems into data stories. This role involves applying suitable statistical data analysis and modeling methods to solve complex business problems. Data Scientist II works within the scope of their team, and occasionally across partner teams, to inform business decisions. They independently identify and manage stakeholders, effectively communicating complex analysis results. As experienced members of the team, they provide guidance to junior colleagues, act as force multipliers, and contribute significantly to their community. They stay updated about the larger data ecosystem and the goals of their track and business unit, ensuring the quality of their work through peer review. They play a key role in influencing business decisions within their specific area.
  • Responsible for owning the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.
  • Responsible for working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer value.
  • Responsible for working primarily within the scope of their team to deliver work that informs business decisions for the product / business topic they currently work on, occasionally collaborating across multiple teams.
  • Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making.
  • Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement.
  • Responsible for being flexible in adopting existing internal and external Data Science approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peer's when a more efficient way presents itself.
  • Responsible for leveraging Data Science for impact while learning to incorporate scalability, reproducibility and long term orientation in their work.
  • Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example.
  • Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area.
  • Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do.
  • Responsible for collaborating with peers in related crafts (ie. Data Engineering), anticipating data needs to ensure smooth progress of their individual projects.
  • Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge 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 specific area (ie. product team).
  • Experience solving real problems using data mining techniques and with statistical rigor
  • Strong technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark or SQL as well as coding experience with Python and/or R
  • Excellent communication skills
  • Strong skills in translating business problems into data problems
  • Strong stakeholder management
  • Strong data visualization skills
  • Strong skills in storytelling with data
  • Strong knowledge of Statistical Methods (e.g. Hypothesis Testing, GLM, Causal Inference, Forecasting)
  • Strong knowledge of Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Regularization, Bagged/Boosted methods)
  • Strong knowledge of data management (engineering, data pipelines, workflows)
  • Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modeling
  • 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 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.

Client-provided location(s): Amsterdam, Netherlands
Job ID: booking-562949958772594
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Fitness Subsidies
    • Dental Insurance
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Adoption Leave
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Stock Purchase Program
  • Professional Development

    • Promote From Within
    • Mentor Program
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Leadership Training Program
    • Work Visa Sponsorship
    • Learning and Development Stipend
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)