Full Time

Data Scientist

Project Management

13/09/2023

You will conduct research in computer vision, and machine/deep learning; and implement new state-of-the-art algorithms and/or hardware systems to support research-and-development goals. You will be an author on publications resulting from your work.

Main Responsibility

Conduct independent (but complementary) research, build, and deploy scalable models in machine learning, artificial intelligence and statistics; implement new state-of-the-art algorithms and/or hardware systems to support research and development goals.
Encouraged to think out-of-the-box, innovate and find solutions to real-life problems.
Work with software team on designing, implementing, and analyzing techniques.
Contribute to and actively participate in the conception, design, and execution of research to address defined problems.
Document methods, procedures, and results in compliance with ISO/FDA regulatory standards and recommendations.
Collaborate with other specialists and experts in a multidisciplinary team environment to accomplish research goals.
Publish novel research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars, and technical meetings at least 2 publications per year.
Develop new conceptual frameworks from an initial design to a market release.
Cooperate proof-of-concept (POC) tasks with technicians/engineers.
Experience as a decision maker in selecting innovative, practical methods to achieve problem resolutions.
Conduct feasibility studies to verify capability and functionality.

Qualification

Bachelor Degree in Engineering, Computer Science, Applied Mathematics, Advanced Statistics, Biostatistics, or related field.
Demonstrated state-of-the-art knowledge of one or more significant topics as below,
Feature extraction — experience in image features and/or clinical/biomedical/medical attributes etc.
Image processing/computer vision — particularly applications related to analysis of facial features (detection, recognition, classification), body motion tracking and movement classification, activity analysis, and/or real-time image effect processing (dynamic morphing/blending texture maps, “face replacement”).
Health informatics/biostatistics — particularly “big data” analysis, public datasets to understand health-related trends.
Experience in machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, causal inference, mathematical optimization, neural nets).
Ability to develop independent research projects as demonstrated through publication of peer-reviewed literature.
Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
Initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.
Experience with cloud computing resources and data analysis techniques (e.g. Hadoop MapReduce, Spark).
Expertise with R and Python
Able to work and be optimistic under very high pressure.

Main Responsibility

Conduct independent (but complementary) research, build, and deploy scalable models in machine learning, artificial intelligence and statistics; implement new state-of-the-art algorithms and/or hardware systems to support research and development goals.
Encouraged to think out-of-the-box, innovate and find solutions to real-life problems.
Work with software team on designing, implementing, and analyzing techniques.
Contribute to and actively participate in the conception, design, and execution of research to address defined problems.
Document methods, procedures, and results in compliance with ISO/FDA regulatory standards and recommendations.
Collaborate with other specialists and experts in a multidisciplinary team environment to accomplish research goals.
Publish novel research results in peer-reviewed scientific or technical journals and present results at external conferences, seminars, and technical meetings at least 2 publications per year.
Develop new conceptual frameworks from an initial design to a market release.
Cooperate proof-of-concept (POC) tasks with technicians/engineers.
Experience as a decision maker in selecting innovative, practical methods to achieve problem resolutions.
Conduct feasibility studies to verify capability and functionality.

Qualitification

Bachelor Degree in Engineering, Computer Science, Applied Mathematics, Advanced Statistics, Biostatistics, or related field.
Demonstrated state-of-the-art knowledge of one or more significant topics as below,
Feature extraction — experience in image features and/or clinical/biomedical/medical attributes etc.
Image processing/computer vision — particularly applications related to analysis of facial features (detection, recognition, classification), body motion tracking and movement classification, activity analysis, and/or real-time image effect processing (dynamic morphing/blending texture maps, “face replacement”).
Health informatics/biostatistics — particularly “big data” analysis, public datasets to understand health-related trends.
Experience in machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, causal inference, mathematical optimization, neural nets).
Ability to develop independent research projects as demonstrated through publication of peer-reviewed literature.
Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
Initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.
Experience with cloud computing resources and data analysis techniques (e.g. Hadoop MapReduce, Spark).
Expertise with R and Python
Able to work and be optimistic under very high pressure.

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