At US Conec, the business problem is to apply advanced analytics, statistics, and machine learning techniques to metrology challenges to design and validate products, improve process control, and unlock insights from complex measurement data.
Requirements
- Strong background in statistics, data modeling, and analysis
- Proficiency with at least one data-analysis tool or language (e.g., MATLAB, Python, R, Minitab, Excel)
- Experience with optical metrology, image processing, or CAD tools
- Familiarity with automation, robotics, or automated test systems
- Exposure to machine learning or AI-driven analysis methods
- Solid foundation in mechanical design and principles
Responsibilities
- Analyze metrology datasets to identify trends, improve accuracy, and optimize manufacturing efficiency.
- Develop and maintain statistical models, monitoring systems, and predictive algorithms.
- Design experiments and analyze results using statistical tools (Excel, Minitab, MATLAB, Python, R, etc.).
- Collaborate with engineers to troubleshoot quality issues and propose data-driven corrective actions.
- Support creation of fixtures, automation routines, and measurement programs for ferrule and mold validation.
- Document test plans, results, and analyses, and contribute to technical reports or patent filings.
- Manage databases and reporting systems to ensure accessible, reliable data measurement.
Other
- Bachelor’s degree in Data Science, Metrology, Engineering, Applied Mathematics, or a related discipline
- Strong communication and problem-solving skills
