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Toyota Research Institute of North America is seeking a Data Scientist to
support the in-house research activities. This individual will join a team
responsible to develop state-of-art methodologies for material informatics.
Key Responsibilities:
• Develop novel machine learning and analytical models to deal with
problems/challenges in material informatics
• Data mining in large scale of experimental and simulation data
• Frequent communication with material scientist within the
organization
• Regularly report and present to manager and the research team
Minimum Requirements:
• MS or above degree in Computer Science, Statistics or related
technical field or equivalent practical experience.
• Strength with machine learning and data mining techniques
• Fluency in programming languages (Python, C/C++, Java).
• Hands-on experience with statistical software (R, SAS, Matlab,
Python).
• Self-motivated, intelligent individual with initiative and drive
for overcoming technical challenges.
• Strong verbal and written communication skills.
Preferred Requirements:
• Experience with graph matching, distance metric learning and
manifold learning techniques
• Experience in scientific writing and presentation
• Knowledge of material science, chemistry and physics.
The position requires staying abreast of emerging field of machine learning,
performing original research; publishing/presenting results, involve in
collaborative research. Candidate must be able to work effectively with a
diverse group of scientists. |
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