Help & Supportcareers@gravityer.com
Senior Engineer at Scenix.ai
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 Tübingen
Dr. rer. nat., Computer Science
January 1, 2013 – January 1, 2017
Brown University
Masters, Computer Science
January 1, 2004 – January 1, 2008
Connecticut College
Bachelor of Arts, Economics/Psychology
January 1, 1992 – January 1, 1996
scenix.ai
Senior Engineer
May 1, 2025 – Present
Remote
Count
Co-Founder
January 1, 2023 – March 1, 2025
Amazon
Senior Applied Scientist, Core ML
October 1, 2017 – September 1, 2021
Body Labs
Senior CV/ML Research Scientist
March 1, 2016 – September 1, 2017
Industrial Light and Magic
Research and Development Engineer
June 1, 2015 – February 1, 2016
Max Planck Institute for Intelligent Systems / University of Tuebingen
PhD Student
April 1, 2013 – May 1, 2017
Tübingen Area, Germany
Max Planck Institute for Intelligent Systems
Computer Scientist
April 1, 2011 – March 1, 2013
Cultural Fit Analysis
The candidate has a diverse background spanning academia, large tech companies (Amazon), and startups (Count, Body Labs, scenix.ai). This breadth suggests adaptability and a potential fit for various organizational cultures. However, the target role is 'Data Analyst', which is a significant shift from their primary experience in Machine Learning, Computer Vision, and Applied Science. While data analysis skills are foundational to ML, the direct alignment with a pure Data Analyst role is not explicitly demonstrated through their experience or projects. This could indicate a potential mismatch in expectations or a need for upskilling in specific data analysis tools and methodologies.
Soft Skills & Operational Fit
The candidate's resume indicates a strong background in research and development, co-founding a company, and senior engineering roles, suggesting initiative, problem-solving, and leadership. However, without specific project descriptions or interview data, it is difficult to assess communication clarity, teamwork, or stress handling directly. The psychometric test score is not provided, limiting assessment of work attitude and team collaboration.