Research Scientist @ ServiceNow Research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Université de Montréal
Doktor (Ph.D.)
January 1, 2019 – January 1, 2024
Humboldt-Universität zu Berlin
Master of Science (M.Sc.), Wirtschaftsinformatik
January 1, 2015 – January 1, 2017
DHBW Mannheim
Bachelor of Science (B.Sc.), International Management for Business and IT
January 1, 2012 – January 1, 2015
National University of Kyiv-Mohyla Academy
Informatik
January 1, 2009 – January 1, 2010
ServiceNow Research
Senior Research Scientist
November 1, 2024 – Present
Montreal, Quebec, Canada
Microsoft
Visiting Researcher
March 1, 2023 – May 1, 2024
Montreal, Quebec, Canada · On-site
ServiceNow Research
Visiting Researcher
February 1, 2022 – October 1, 2022
Montreal, Quebec, Canada
Mila - Institut Québécois d'Intelligence Artificielle
Ph.D. Student
September 1, 2019 – September 1, 2024
SAP
Associate Research Engineer
April 1, 2019 – August 1, 2019
SAP
Machine Learning Research (Master's Thesis)
February 1, 2018 – April 1, 2019
HELLA Aglaia Mobile Vision GmbH
Working Student Deep Learning
November 1, 2017 – February 1, 2018
Berlin Metropolitan Area
SAP
SAP ICDx
January 1, 2016 – January 1, 2017
Berlin Metropolitan Area
E.ON Business Services
Einführung intelligenter Messsysteme
January 1, 2014 – March 1, 2014
E.ON Business Services
Cooperative Student
August 1, 2012 – October 1, 2015
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and specialized roles in Machine Learning and Deep Learning. While this demonstrates a strong technical foundation, the target role of 'Data Analyst' typically requires a broader application of data analysis techniques, business understanding, and communication of insights to non-technical stakeholders. The current experience, while impressive, might indicate a preference for deep theoretical work over practical, business-driven data analysis. The lack of diverse project descriptions makes it challenging to assess adaptability to different organizational cultures or project types. The candidate's experience is primarily in research and development, which may not directly align with the typical day-to-day responsibilities and collaborative nature of a data analyst role in a business setting.
Soft Skills & Operational Fit
The candidate's extensive research background suggests strong analytical thinking, problem-solving, and independent work capabilities. The Ph.D. and various research roles imply a high degree of self-motivation and intellectual curiosity. However, the resume lacks explicit descriptions of collaborative projects or team-oriented achievements, making it difficult to fully assess operational fit in a team-based data analyst role beyond individual research contributions. The psychometric test score is not provided, which would offer further insight into work attitude and stress handling.