Senior Data Scientist at Deutsche Telekom
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
INSA Lyon - Institut National des Sciences Appliquées de Lyon
Doctor of Philosophy - PhD, Computer Science
January 1, 2010 – January 1, 2014
Universität Passau
Doctor of Philosophy - PhD, Computer Science
January 1, 2010 – January 1, 2014
University of Duisburg-Essen
M.Sc., Applied Computer Sceince
January 1, 2007 – January 1, 2010
Tishreen University
Eng., Computer Sceince
January 1, 2000 – January 1, 2004
Deutsche Telekom
Senior Data Scientist
September 1, 2022 – Present
Deutsche Telekom
Machine Learning Expert
January 1, 2018 – Present
Technische Universität Darmstadt
Postdoctoral Fellow
April 1, 2015 – December 1, 2017
Darmstadt, Hesse, Germany
Museum für Naturkunde Berlin
Data Scientist
October 1, 2014 – March 1, 2015
Berlin Metropolitan Area
FH Kufstein Tirol Bildungs GmbH
Lecturer
October 1, 2013 – December 1, 2013
Kufstein, Austria
Aleppo University
Lecturer Assistant
August 1, 2006 – May 1, 2007
Aleppo, Syria
Vermeg
Technichal Analyst and Java Developer
January 1, 2005 – December 1, 2005
Damascus-Syria
Cultural Fit Analysis
The candidate's diverse academic background across multiple European institutions and varied professional experiences (telecom, research, museum, academia) suggest adaptability and exposure to different work cultures. Their progression from Machine Learning Expert to Senior Data Scientist at Deutsche Telekom indicates a capacity for growth and taking on more responsibility. The target role of 'Data Analyst' might be a slight mismatch given their 'Senior Data Scientist' and 'Machine Learning Expert' titles, potentially indicating an overqualification or a desire for a different type of challenge. However, the core skills align well with data-driven roles.
Soft Skills & Operational Fit
The candidate's extensive academic and professional background, including lecturing experience, suggests strong analytical, problem-solving, and communication skills. Their long tenure at Deutsche Telekom in Data Science and Machine Learning roles indicates stability and a capacity for long-term contributions. However, without specific project details or behavioral assessment data, it is difficult to fully assess operational fit, teamwork, or adaptability beyond what can be inferred from their career progression.