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Senior Manager, AI & Data at Mercedes-Benz R&D
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.