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.
cöntact
Boban Pavlovic
+ 381 (0) 62 72 72 72
Miljana Pejatovic
+ 381 (0) 62 73 73 73
