Help & Supportcareers@gravityer.com
Director, Applied AI 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
Experienced Machine Learning Researcher with a demonstrated history of working in the Artificial Intelligence industry. Skilled in Statistical Learning, Deep Learning, Reinforcement Learning, Evolutionary Computation, and Optimization. Strong research track record with a Ph.D. focused on ML and AI.
Dalhousie University
PhD, Computer Science
January 1, 2008 – January 1, 2014
Amirkabir University of Technology - Tehran Polytechnic
MSc, Computer Science
January 1, 2005 – January 1, 2008
Ferdowsi University of Mashhad
BSc, Computer Engineering
January 1, 2000 – January 1, 2005
Thomson Reuters
Director, Applied AI Research
December 1, 2024 – Present
Thomson Reuters
Manager Applied AI Research
May 1, 2023 – December 1, 2024
Thomson Reuters
Lead Applied Research Scientist (NLP/ML)
January 1, 2022 – April 1, 2023
Thomson Reuters
Senior Research Scientist (NLP/ML)
November 1, 2019 – December 1, 2021
Huawei Technologies
Machine Learning Research Scientist
September 1, 2017 – November 1, 2019
Toronto, Ontario, Canada
Saint Mary's University
Assistant Professor
September 1, 2015 – August 1, 2017
Halifax, Canada Area
Dalhousie University
Post-doctoral Fellow
January 1, 2014 – August 1, 2015
Halifax, NS, Canada,
Saint Mary's University
Instructor
January 1, 2014 – August 1, 2014
Halifax, NS, Canada
Cultural Fit Analysis
The candidate has a strong background in research and academia, transitioning into industry roles focused on AI/ML. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards advanced AI/ML research and leadership. This might indicate a potential mismatch if the Data Analyst role is primarily focused on routine data reporting and dashboarding rather than advanced analytical modeling or research. The breadth of skills is deep within AI/ML but less explicit in traditional data analysis tools or business intelligence, which could impact cultural fit for a standard Data Analyst team.
Soft Skills & Operational Fit
The candidate's career progression from Research Scientist to Director suggests strong leadership, problem-solving, and strategic thinking abilities. The academic background and post-doctoral work indicate a capacity for independent research and continuous learning. However, specific soft skills like teamwork or communication cannot be directly assessed from the provided data.