Embark on a challenging journey as an R&D; Data Science Engineer, focusing on the application of advanced analytics and machine learning for process control. Leverage your skills to develop cutting-edge solutions that optimize manufacturing performance.
This role, reporting to the R&D; Manager, demands a solid foundation in machine learning, statistical analysis, and data visualization techniques. With 3-5 years of relevant experience, you will be instrumental in building and maintaining predictive models and improving data quality for better operational outcomes.
Key Responsibilities:
• Develop and implement machine learning algorithms for optimization
• Conduct statistical analyses to identify trends and improvements
• Maintain data processing routines for quality assurance
• Create tools and workflows for effective data deployment
• Collaborate on dashboards summarizing KPI insights
Requirements:
• Master’s or PhD in a relevant field
• Solid Python programming fluency
• Hands-on experience with data visualization tools
• Knowledge of Fourier Transform concepts
• Willingness to travel for project support
Bring your analytical talents to enhance manufacturing processes through data-driven innovations.
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