Join Tenova as an R&D; Data Science Engineer, where you’ll apply machine learning and data analysis to enhance manufacturing efficiency. This role emphasizes algorithm development and predictive modeling.
You will work under the R&D; Manager to analyze test data, create predictive models, and utilize statistical techniques to interpret trends. Your expertise will be crucial for improving data quality and ensuring robust production methods tailored to client needs.
Key Responsibilities:
• Develop and deploy machine learning models
• Analyze and visualize data for key insights
• Maintain data quality through validation routines
• Create tools and procedures for process automation
• Identify opportunities for improved data usage
Requirements:
• Master's or PhD in a relevant discipline
• 3-5 years of Python programming experience
• Skilled in machine learning and data analysis
• Robust foundation in data cleanup methods
• Ability to travel internationally as needed
Be part of Tenova’s pioneering efforts in sustainable technology by using your data science skills.
#J-18808-Ljbffr