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
- Robust 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.