The IT Data Senior Scientist will leverage advanced analytics, machine learning, and statistical methods to extract meaningful insights from complex datasets. In this role, they will develop and implement data models, conduct in-depth analysis, and collaborate with cross-functional teams to drive data-driven decision-making. They will work with large datasets to identify patterns, build predictive models, and provide actionable recommendations that support business strategies. This position offers the opportunity to work with cutting-edge technologies and mission-critical AI-based business cases, and solve key challenges through data innovation.
Must have skills:
-Machine Learning Model Development and Deployment
-Industrial Data Science and IoT/Time Series (Critical for working with sensor data from manufacturing sources (IoT/Industry 4.0)
-Computer Vision (CV): Specific experience with AI-driven solutions like computer vision for automate product inspection and identifying defects, which requires technical familiarity with CV libraries like OpenCV and deep learning frameworks like TensorFlow/PyTorch.
-Working with large datasets and deploying cutting-edge AI requires a scalable, cloud-based infrastructure.
Key Responsibilities
Required Education, Experience, and Skills
Minimum Education Level: Bachelor's
Specialized Degree: Software Engineering, Applied Computer Science, Statistics.
Years of Experience: 5-7 years
Field of Expertise: Manufacturing, ioT, Industry 4.0, Cybersecurity,
Preferred Education, Experience, and Skills
Minimum Education Level: Master's
Certificates: GCP, AW, S, or Azure certified
Years of Experience: 8-11 years
Preferred Field of Expertise: Manufacturing in Wire & Cable
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