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.
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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.
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top 3 reasöns
1. Innovative projects with big name clients and exposure to future, cutting edge technologies. 2. Unlimited individual growth opportunities and the ability to create a personalized career path. 3. 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.
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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
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