(Senior) Data Scientist


Company Name: Cushman & Wakefield
Location: Netherland
Job Title
(Senior) Data Scientist

Job Description Summary

As technology keeps developing and becomes more affordable—for both new and existing structures—and collaboration platforms, sensors, and smart devices continue to advance, the amount of data produced by buildings is increasing exponentially. This data can give real estate market participants (investors, asset managers, property managers, and tenants) a competitive advantage and help them avoid disruption if they use it effectively to develop data-driven services and new business models focused on the specific needs of users, owners, or the property itself.

Will you be our new colleague to get data driven decisions to the next level?

Job Description

DATA SCIENTIST

What will you do as a Data Scientist in Cushman & Wakefield

You solve complex problems with statistical programming languages for clients of Cushman & Wakefield, such as large banks, insurance companies and real estate investors. With your insight into data you can easily explain every complexity to the customer. In a young and ambitious team, you help to understand and solve the problems through statistical methods, like scoring algorithms, regressions and the use of machine learning with open sources such as Python or R.

Besides the quantitative part, you will be asked to present the findings in an understandable manner and include the customer in the solutions. Customer satisfaction is important to you, so you listen carefully and give insightful answers that give customers the confidence that the problem will be solved. You will get the time to develop new skills if needed, like specializing in big data or artificial intelligence projects. If you are in the right position, managing a project independently is a logical next step.

Your profile
  • You have a beta Master and some programming experience (preferably Python, and otherwise R)
  • Experience with RESTful APIs (implementation and consumption)
  • You are solution-oriented, independent and have an entrepreneurial mindset
  • You get a boost by solving problems and you become enthusiastic about data sets
  • You take on intellectual challenges and you have a strong dose of energy
  • You are fluent in English, both orally and in writing
We offer
  • A challenging and varied Data Scientist role at the leading consulting organization in commercial real estate
  • A driven team within a professional and informal working environment
  • Freedom to develop your own initiatives and further shape our strategy
  • Excellent primary and secondary employment conditions
We are Cushman & Wakefield

Cushman & Wakefield (NYSE: CWK) is a global leader in professional services in commercial real estate. As a strategic consultant, the organization creates sustainable enterprise value by guiding clients in formulating the best possible real estate decisions and solutions and taking responsibility for their realization.

Cushman & Wakefield is one of the largest commercial real estate strategic advisers in the world with around 51,000 employees in 400 offices in 70 countries. In 2018, the organization achieved sales of $ 8.2 billion with core activities such as property, facility and project management, leasing, capital markets, valuations and other services. You can find more information on www.cushmanwakefield.nl and via Linkedin.

Application process
A declaration of good behavior (VOG) is part of our application process.

Coffee?

If you fit the profile, we will gladly make an appointment for a good conversation. We provide the coffee.

Of course, you can count on a quick and confidential handling of your application.

Cushman & Wakefield provides equal employment opportunity. Discrimination of any type will not be tolerated. Cushman & Wakefield is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by state, federal, or local law.

  • Seniority level

    Associate
  • Employment type

    Full-time
  • Job function

    Other
  • Industries

    Commercial Real EstateReal EstateFacilities Services


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