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Data Scientist

Engineering Software Lab d.o.o.

Belgrade

Adrese mesta rada

  • Beograd, Milutina Milankovića 17B

03.09.2020.

ugovor puno radno vreme dostupno osobama sa invaliditetom

ABOUT US

Engineering Software Lab was established in Belgrade in 2012 and is a member of Engineering Group (www.eng.it), one of the main players in the field of digital transformation of public and private companies and organizations around the world. 

With around 12,000 professionals in 65 locations (in Italy, Belgium, Germany, Norway, Serbia, Spain, Sweden, Switzerland, Argentina, Brazil and the USA), the Engineering Group designs, develops and manages innovative solutions for the business areas where digitalization is having the biggest impact, including Digital Finance, Smart Government & E-Health, Augmented City, Digital Industry, Smart Energy & Utilities, Digital Media & Communication. 

Engineering Software Lab currently has more than 200 developers and specialists who work in the fields of consulting, project management and development of information systems. Variety of interesting and challenging projects make part of our everyday life.

ABOUT THE PROJECT

Currently, we are looking for a new colleagues who will work on one of the very interesting and dynamic Internet of Things (IoT) projects, called Digital Enabler https://digitalenabler.eng.it/en/.

Digital Enabler is the opensource “ecosystem” platform that enables new business models based on data economy, promotes innovation and increases business opportunities. The Digital Enabler allows its users to harmonize, synchronize, integrate, visualize, combine, associate and examine data from different sources in order to find correlations, create new information and give value to not processable data. It is possible to convert the data into a new one, plug-in IoT devices, digitally enable the technologies and the more mature ones to feed the digital transformation.

Sounds good? Check out our open position.

DATA SCIENTIST 

JOB REQUIREMENTS:

  • Degree in Computer Science, Engineering or related fields
  • 2-3 years of work experience  
  • Experience with data integration (ETL) and data mining
  • Knowledge of Java and/or Scala programming languages
  • Knowledge of machine learning techniques will be considered as a plus
  • Knowledge of Python or R languages will be considered as a plus
  • Experience with Pandas, NumPy and Keras libraries or TensorFlow will be considered as a plus
  • Knowledge of Apache spark will be considered as a plus
  • Willingness to adapt quickly to complex and international work environment
  • Initiative to learn new concepts/software technologies
  • Ability to communicate effectively - both verbally and in written communication
  • Good knowledge of English (written and spoken)
  • Knowledge of Italian language will be considered as a plus
  • Willingness to go on a business trips (if and when needed)

WHAT WE OFFER:

  • Great colleagues, open, informal and fun atmosphere
  • Possibility to learn different technologies through engagement on various long and short-term projects
  • Competitive compensation
  • Flexible work organization
  • Parking space
  • Private health insurance
  • FitPass
  • Opportunity to learn from other colleagues
  • Modern office in Belgrade
  • Team buildings, gatherings, and events

Please note that only short-listed candidates will be contacted.

We are looking forward to meeting you. Good Luck!

    Upoznajte poslodavca Engineering Software Lab d.o.o

    Engineering Software Lab d.o.o


    Engineering Software Lab was established in Belgrade in 2012 and is a member of Engineering Group (www.eng.it), one of the main players in the field of digital transformation of public and private companies and organizations around the world.
    With around 12,000 professionals in 65 locations ... Saznajte više

    Beneficije

    • TEAM BUILDING
    • CAREER DEVELOPMENT
    • NEW TECHNOLOGIES
    • TRAVELLING
    • COMPANY EVENTS
    • RESTAURANT
    • PARKING
    • PRIVATE HEALTH INSURANCE
    • FITPASS
    • FLEXIBLE WORK ORGANISATION
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