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Data Scientist

  • Warszawa, mazowieckie pokaż mapę
  • Specjalista
  • 19.05.2017

    Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

    JLL (NYSE: JLL) is a leading professional services firm that specializes in real estate and investment management. A Fortune 500 company, JLL helps real estate owners, occupiers and investors achieve their business ambitions. In 2016, JLL had revenue of $6.8 billion and fee revenue of $5.8 billion and, on behalf of clients, managed 4.4 billion square feet, or 409 million square meters, and completed sales acquisitions and finance transactions of approximately $136 billion. At year-end 2016, JLL had nearly 300 corporate offices, operations in over 80 countries and a global workforce of more than 77,000. As of December 31, 2016, LaSalle Investment Management has $60.1 billion of real estate under asset management. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit www.jll.com.

     

    The company is currently looking for the right candidates for the position of:

    DATA SCIENTIST
    Work location: Warszawa

    Role profile:

    Data Scientist will join growing and dynamic BI team and will work on development of advanced analytics solutions for JLL’s corporate real estate clients in such areas as smart buildings, workplace or IoT. Individual in this role is expected to be comfortable working as a data analyst and quantitative researcher. He/She should possess an ability to define use cases, develop PoCs and deploy advanced analytics solutions that solve complex clients’ problems and generate significant value to JLL and our clients (improve productivity and profitability).

    Requirements:

    • Excellent numerical skills and BI/IT technology understanding
    • Strong experience in data science toolkits, such as SPSS, SAS, R, NumPy or Alteryx.  
    • Experience with data visualization tools such as Tableau, QlikView or Power BI
    • Familiarity with relational databases (e.g. MS SQL Server), Hadoop (e.g. MapR) and ETL (e.g. SSIS, Informatica)
    • Proficiency in using query languages such as SQL
    • Ability to work independently and in team environments.
    • Highly developed written and verbal communication skills – able to effectively communicate both with technical/analytical experts as well as with top management
    • Solutions-oriented workstyle and strive for excellence
    • Fluent English is a must
    • Master degree from polytechnic or business studies preferred, PhD or postgraduate studies will be a plus
    • 2+ professional relevant experience in data science and advanced analytics
    • Hands on experience in applying machine learning algorithms, predictive modeling, data mining, machine learning, and statistical analysis to solve business problems.
    • International work experience will be a plus
    • Knowledge of smart cities & smart buildings concept or corporate real estate will be a plus
    • Consulting/advisory experience will be a plus

    We offer:

    • Employment contract
    • Competitive benefit package (incl. Benefit Systems, private healthcare, life insurance)
    • Possibility to work in a highly professional, stimulating and challenging work environment of multinational Company with great and long term career prospective
    • Opportunity to demonstrate your own initiatives
    • Opportunity to participate in training and development programs
    • Attractive office location in A class building within a 5-minute walk from the metro station
    • Comfortable working environment (own canteen, library, relax area)
    • Friendly and supportive company culture

    Send your CV in English to Apply.

     

    Please note we will contact selected candidates only.

    Please include the following clause in your application: Wyrażam zgodę na przetwarzanie moich danych osobowych zawartych w mojej ofercie pracy dla potrzeb niezbędnych do realizacji aktualnego oraz przyszłych procesów rekrutacji (zgodnie z Ustawą z dnia 29.08.1997 roku o Ochronie Danych Osobowych; tekst jednolity: Dz. U. z 2002r. Nr 101, poz. 926 ze zm.).