Big Data Analyst/Data Scientist

umlaut d.o.o.

Beograd

20.10.2021.

yöu

Successfully completed studies in (business-) informatics, economics, mathematics, physics, statistics or related.
Good understanding of the latest analysis techniques: Data Mining, Statistical Modelling and Machine Learning.
Good background in using Big Data technologies such as Apache Hadoop Framework (Hive, Impala, Spark, Pig) and/or AWS (Amazon Web Services).
Extensive experience in the area of data modelling and data visualization.
Good knowledge in programming with: Scala, Python and/or R.
Analytical and innovative way of thinking, eagerness to experiment as well as the ability for multitasking.
Ability to interpret and present analyses results and insights.
Ability for independent and rapid incorporation into complex tasks.

our öffer

Analysis of complex data, data preparation and development of prognostic models based on modern statistical methods.
Advancement of our innovative services through use of modern technologies in data analytics and Big Data.
Identification of specific customer problems.
Consolidation of data and analyses results as well as creation of appropriate visualization to conclude recommendations for action.
Coordinating internal and external project partners.
Planning, prioritization, and implementation of different project tasks according to the customer requirements.
Preparation as well as holding customer presentations.

top 3 reasöns

Innovative projects with big name clients and exposure to future, cutting edge technologies.
Unlimited individual growth opportunities and the ability to create a personalized career path.
Access to a global network with opportunities to live and work abroad.
+X: A team spirit and family-like culture as exciting and colourful as our gradient.

üs

umlaut is a 4200 people strong global full service cross industry end-to-end partner that applies its deep-running interdisciplinary, collaborative advisory and fulfilment capabilities to change its clients fortunes for the better and - on top of that - add value, quality and focus to their organisations and products.