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Data Scientist

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On behalf our multinational client we are looking for the right candidate to fulfil the position of:

Data Scientist

Job Description

This is an open position within the Marketing Automation and Analytics team supporting the Global Marketing Operations function. You must be passionate about discovering the information hidden in vast amount of data. You will work cross-functionally to define meaningful success metrics for the marketing operations, use advanced analytics, data and text mining techniques, graph theory to better understand customer behaviors and optimize business processes.


Proactive, in-depth analysis and modeling to uncover hidden opportunities; identifying inconsistencies in complex data structures.
Extending companys data with third party sources of information when needed.
Data mining using state-of-the-art methods
Analyze large volume of data (campaign responses, clickstream, demographic, etc.) in an effort to drive and optimize automated marketing, trigger campaigns, audience management and user experience.
Collaborate with Developer, DBA, Business Analyst and List Management teams on design and implementation of analytics environment and create data driven processes to support the Modern Marketing initiative. Work in close collaboration with the Marketing Automation and Analytics team to develop and implement high business impact analytical initiatives.


Minimum 2 years experience in data-scientist position
Proven ability to deal and thrive with multiple imperfect, mixed, varied, and inconsistent data sources; expert knowledge in more of the following languages/tools/technologies:
Data collection and preprocessing: Oracle PL/SQL, MySQL, PostgreSQL, MS T-SQL is also accepted
Analytics: R, RapidMiner, Weka, Oracle Data Miner. Rattle, SPSS Clementine, SAS Enterprise Miner experience
Other Scripting/Development: Java, Python, Scala, etc is a plus.
Experience in one or more of the following: machine learning (regression, classification, common algorithms), graph theory, recommender systems, natural language processing (NLP), text mining, clustering techniques.
Process/technical documentation skills, ability to develop clean, well-structured and documented code.
Aptitude for clean and effective visualization of discovered insights.
Data analytics oriented MOOC (Coursera, edX, Udacity, Khan Academy, etc.) certification, real world experience, B2B Marketing experience, familiarity with main concepts, data elements and metrics of marketing, web, social analytics is a plus.
Strong communication skills, fluency in English, both spoken and written, are required.

If you are interested, please send your CV with the indication of the position to the following e-mail address:E-mail cím megjelenítése
Magán-munkaközvetítői ny. sz.: 29338/2000-0100
Adatkezelés nyilvántartási száma NAIH-53813/2012.

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