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Senior data scientist for advanced manufacturing

Teramo
beBee Careers
Data scientist
Pubblicato il 14 giugno
Descrizione

Job Summary

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This role is responsible for designing, developing, implementing, and optimizing advanced machine learning models and algorithms. The ideal candidate will have expertise in complex data analysis, statistical modeling, and predictive analytics.

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Key Responsibilities

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* Design, develop, implement, and optimize advanced machine learning models and algorithms to improve the efficiency, accuracy, and effectiveness of Metal Additive Manufacturing processes.
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* Conduct sophisticated analyses of sensor-generated data to enhance adaptive control systems.
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* Lead critical aspects of research and development to drive innovation in Metal Additive Manufacturing.
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Requirements

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The successful candidate will possess:

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* Expert proficiency in advanced Machine Learning algorithms and deep learning frameworks (TensorFlow, PyTorch).
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* Extensive experience with complex data analysis, statistical modeling, and predictive analytics.
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* Advanced programming skills in Python, along with proficiency in R or MATLAB.
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* Solid expertise in data processing, management, and visualization tools (e.g., Pandas, NumPy, SQL databases, Matplotlib, Seaborn).
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* Demonstrated track record in developing and deploying machine learning models in real-world industrial or research applications.
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* Strong analytical thinking, research capabilities, and innovative problem-solving abilities.
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* Excellent written and verbal communication, leadership, and remote collaboration skills.
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* Master's degree or higher in Computer Science, Data Science, Machine Learning, Engineering, or a closely related technical field.
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* Prior hands-on experience or deep familiarity with additive manufacturing processes, sensor data fusion, or industrial automation is highly desirable.
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About Us

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We are a research-based organization focused on advancing the field of Metal Additive Manufacturing through innovative technologies.

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What We Offer

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As a Senior Machine Learning Specialist, you will have the opportunity to work on cutting-edge projects and contribute to the development of practical solutions for the additive manufacturing community.

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How to Apply

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Please submit your application, including your resume and cover letter, to be considered for this exciting opportunity.

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