Senior Manager, AI & Data at Mercedes-Benz R&D
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Assessing your cultural and operational fit
University of Louisville
Doctor of Philosophy (PhD), Computer Science
January 1, 2012 – January 1, 2017
University of Nevada, Reno
Master of Science (M.Sc.), Computer Science
January 1, 2010 – January 1, 2012
Amirkabir University of Technology - Tehran Polytechnic
Master of Science (M.Sc.), Computer Engineering - Artificial Intelligence
January 1, 2005 – January 1, 2008
Mercedes-Benz Research & Development North America, Inc.
Senior Manager, AI & Data
April 1, 2026 – Present
Mercedes-Benz Research & Development North America, Inc.
Engineering Manager, Machine Learning
July 1, 2021 – April 1, 2026
Mercedes-Benz Research & Development North America, Inc.
Staff Machine Learning Engineer
March 1, 2021 – July 1, 2021
Mercedes-Benz Research & Development North America, Inc.
Senior Machine Learning Engineer
June 1, 2017 – March 1, 2021
PARC
Research Scientist
May 1, 2015 – December 1, 2015
Rochester, New York Metropolitan Area
Xerox Research Center (XRCW)
Research Scientist
May 1, 2014 – August 1, 2014
Webster, New York Area
Eye-Com Corporation
Researcher Intern
May 1, 2011 – August 1, 2011
Greater Reno Area
Razin Software Group
Co-Founder and CEO
February 1, 2006 – June 1, 2010
Tehran, Iran
Cultural Fit Analysis
The candidate's extensive background is heavily skewed towards Machine Learning, AI Engineering, and Research, with a strong focus on automotive and academic R&D. While these fields involve data analysis, the target role of 'Data Analyst' might be a step down in terms of technical depth and strategic scope compared to their recent senior management and engineering roles in AI. The lack of explicit project diversity outside of AI/ML and automotive, and the absence of specific data analyst tools/technologies in their resume, suggests a potential mismatch with a pure Data Analyst role, which typically focuses on business intelligence, reporting, and specific data visualization/ETL tools. Their experience is more aligned with a Senior Data Scientist or ML Engineer role.
Soft Skills & Operational Fit
The candidate's career progression into management roles at a major R&D institution suggests strong leadership, project management, and team collaboration skills. Their research background implies a methodical and analytical approach to problem-solving. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and direct team collaboration is limited.