Data Scientist - Real Estate & Workspace Services

Location: Amsterdam

*** Mention DataYoshi when applying ***

As part of the Real Estate and Workspace Services team, you’ll be working to manage and optimise the portfolio of 140+ offices and its services across the world. You’ll use your expertise to design research frameworks, leverage large datasets but also real-life experiments to build and improve the model, covering all aspects of the working environment, improving the efficiency and effectiveness of the working space, to deliver a Healthy, Happy and Productive working environment.

Working with the wider Real Estate & Workspace Services (REWS) team, you’ll also have the opportunity with this global team across regions and with the People Analytics team, driving value across various areas of our office portfolio.

As a Data Scientist you’ll take full ownership of your work - from the initial idea-generation phase to testing and the implementation of the final product. You will thrive at if you are result-focused, innovative, and with a solid quantitative background, and by building an understanding of our complex business model.


  • Work in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. You’ll use the model’s output to create and improve products and services for our customers, preferably in short development cycles
  • Research & Development on how to improve customers’ experience, by using our vast amount of data
  • Actively contribute to taking Data Science at to the next level
  • Contribute to the growth of through interviewing, on-boarding, or other recruitment efforts


  • 5+ years of relevant work experience
  • Masters, PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
  • Excellent English communication skills; the ability to convey your message to team members and other stakeholders
  • Prior experience with a few of the following models: Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Game Theory, Mechanism Design and/or Latent Dirichlet Allocation


  • Experience with at least one scripting language, e.g. R, Octave, and one programming language, e.g. Python, Perl, C/C++, Java
  • Exposure to SQL and relational databases


  • Experience implementing a real-world Recommender or Ranking system
  • Worked with the Hadoop Ecosystem
  • Implemented multi-core/distributed software, preferably in a Linux environment


We are a performance-based company that offers career advancement and lucrative compensation, including bonuses and stock potential. We also offer what we call the “Booking Deal” with other competitive perks and benefits. The Technology Department has regular hackathons, trainings and attends/speaks at global conferences.

This position is open to worldwide candidates and in the case of relocation, we will assist you with a generous relocation package, ensuring a smooth transition to working and living in Amsterdam.

*** Mention DataYoshi when applying ***

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