Job Properties
  • Job Type
    Full-time Position
  • Background
  • Languages
  • Experience Required
    1 - 2 Years
  • Degree Required
    • Province
    • Date Posted
      November 16,2020
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    • internship package
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    Machine Learning Scientist - Customer Insights

    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.

    The Customer Insights department is looking for data savvy professionals to join our team of data scientists. You will have the opportunity to build data products that will be used across various departments of our business to help us predict and understand our customers’ behaviour, enabling us to offer them the most relevant personalised experience.

    The NITS team (No-Intent-To-Stay) works on our machine learning models that predict the probability of a cancellation. As a Machine Learning Scientist in the NITS team, you’ll have the chance to work with one of the most established and widely used ML models at and play an integral role in taking it to the next level! You’ll have the chance to collaborate closely with other Analysts, Developers, Product Managers and various business stakeholders and take full ownership of your work - from the initial idea generation phase to the implementation of the final product.

    You will thrive at if you are result-focused, innovative, and with a solid quantitative background, but most of all by understanding our complex business model and the logic behind it.


    • Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into products through machine learning (incl. understanding product requirements, data discovery, model development and evaluation, to implementation of a full production pipeline for both batch and stream-based deployment).
    • Use the model’s output to deliver both short-term commercial impact and longer-term differentiated business value and customer experience.
    • Define and build proof-of-concepts to test new ideas and demonstrate their potential value to relevant stakeholders.
    • Document and share the findings, and identify when these technologies can be generalised into reusable frameworks.
    • Continuously evolve your craft by keeping up to date with the latest developments in ML/AI and related technologies, and upskilling on these as needed.
    • Actively contribute to Machine Learning at through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.


    • At least 3 years of relevant work experience.
    • Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
    • Prior experience with classification and regression algorithms and an excellent understanding of the specifics of those algorithms. Experience with deep learning is a plus.
    • Solid understanding of fundamental machine learning concepts.
    • Fluency in at least one programming language, with a strong preference for Python.
    • Strong working knowledge of Spark and SQL.
    • Experience with putting machine learning models in production is a plus.
    • Excellent English communication skills, both written and verbal; the ability to convey your message to team members and other stakeholders.

    What’s in it for you?

    The DS position is open to worldwide candidates. We provide assistance for you and your family with a generous relocation package, ensuring a smooth transition to working and living in Amsterdam. We have successfully relocated 300+ technology professionals to Amsterdam in the last year.

    • Headquarters located in one of the most vibrant cities in Europe: Amsterdam
    • Performance-based company that offers 29 vacation days, career advancement, and lucrative compensation, including bonuses and stock potential
    • Discount on accommodations with the “Booking Deal” including other perks and benefits
    • Company-sponsored family and social activities to help our employees become integrated with each other and Dutch culture
    • Diverse, unique colleagues from every corner of the world 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.

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