Kaiser Aluminum is looking to solve problems related to product and process improvement and optimization through advanced data analytics and ICME, aiming for low cost and high quality.
Requirements
- Strong skills and experience in predictive modeling development by using multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based predictive modeling technologies.
- Experience with the advanced computing technologies and algorithms, such as machine learning, to build high quality predictive modes, uncover insights and hidden variables, and provide solutions.
- Experience in large dataset collection, integration, and visualization by using Excel, SQL, Mintab, Python, etc.
- Background in aluminum manufacturing, physical, and mechanical metallurgy.
- Experience in thermodynamic and kinetic material modeling by using CALPHA principle, and process simulations by using FEA and CFD tools.
- Experience in metal rolling process simulation through FEA, Crystal Plasticity (CP) model, and other microstructure-based material models.
- Experience in material characterization such as microstructure and mechanical properties.
Responsibilities
- Conduct the low cost and high quality product and process improvement and optimization through the combination of advanced data analytics and ICME (Integrated Computational Material Science).
- Monitor, evaluate, and apply the advanced computing technologies and algorithms for the most sophistic data analytics to uncover insights and hidden variables, identify root causes and patterns, forecast outcomes, and provide data-drive solutions.
- Production process data collection, high dimension large dataset multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based predictive modeling development and applications.
- Develop general and challenge specific predictive modeling capabilities by using commercially available software and/or internal computational codes.
- Design and development of alloys and processes for Aluminum products through advanced data analytics and ICME.
- Provide guidance and mentorship supports for different levels of data analytics including the principle and limits of different analytical algorithms.
- Support plant projects as directed.
Other
- Must be a USA person (identified as US Citizen, US Permanent Resident (Green Card), any individual who is granted status as a “protected person” under 8 U.S.C. 1324b(a)(3).
- Excellent communication skills (written and verbal) and organizational skills.
- Proven ability to work in teams.
- Ability to manage multiple tasks simultaneously.
- An ability to apply continuous improvement tools and methodologies to processes and projects
