Metallurgical Engineer

Kaiser Aluminum • Spokane Valley, WA

5h • $85,000 - $150,000 • Onsite

About The Position

Kaiser Aluminum is seeking a Metallurgical Data Scientist to join their onsite team in Spokane, Washington. This role requires a background in aluminum manufacturing, physical/mechanical metallurgy, and Finite Element Analysis. The Metallurgical/Data Scientist will be responsible for the analysis, design, testing, and implementation of existing and new applications and integrations. The ideal candidate will be a strong technical resource capable of understanding and mastering diverse technologies, working with minimal supervision, and collaborating effectively with business and technical teams.

Requirements

• MS degree in Data Science, Computational Material Science, Statistics, Material Science, or Mechanical Engineering is required.
• Excellent experience in statistical analysis and computing for data-driven problem-solving in a manufacturing environment.
• Strong skills and experience in predictive modeling development using multivariate analysis, classic and penalized regression predictive modeling, and advanced neural-network and decision-tree based predictive modeling technologies.
• Experience with advanced computing technologies and algorithms, such as machine learning, to build high-quality predictive models, uncover insights and hidden variables, and provide solutions.
• Experience in large dataset collection, integration, and visualization using tools like Excel, SQL, Minitab, Python, etc.
• Background in aluminum manufacturing, physical, and mechanical metallurgy.
• Experience in thermodynamic and kinetic material modeling using CALPHAD principles, and process simulations using FEA and CFD tools.
• Ability to apply continuous improvement tools and methodologies to processes and projects.
• Excellent communication skills (written and verbal) and organizational skills.
• Proven ability to work in teams.
• Ability to manage multiple tasks simultaneously.
• Must be a USA person (US Citizen, US Permanent Resident (Green Card), or protected person).

Nice To Haves

• A PhD is preferred.
• 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 low-cost, high-quality product and process improvement and optimization through advanced data analytics and ICME (Integrated Computational Material Science).
• Monitor, evaluate, and apply advanced computing technologies and algorithms for sophisticated data analytics to uncover insights, identify root causes and patterns, forecast outcomes, and provide data-driven solutions.
• Perform production process data collection, high dimension large dataset multivariate analysis, classic and penalized regression predictive modeling, and advanced neural-network and decision-tree based predictive modeling development and applications.
• Develop general and challenge-specific predictive modeling capabilities using commercially available software and/or internal computational codes.
• Design and develop alloys and processes for Aluminum products through advanced data analytics and ICME.
• Provide guidance and mentorship for data analytics at different levels, including the principles and limits of various analytical algorithms.
• Support Industry 4.0 initiatives.
• Develop, define, and complete assigned research & development chartered projects on time.
• Support plant projects as directed.
• Write technical reports summarizing work and deliver presentations to peers on progress at continuous improvement meetings.
• Perform metallurgical and structural analysis of aluminum products.
• Work in cross-functional teams to develop process and production improvements.
• Practice 5S of assigned areas.

Benefits

• Salary range $85,000 to $150,000 commensurate with experience.
• High deductible medical, dental, vision, and basic life insurance, including spouse and children (modest payroll deductions).
• 10 paid holidays per year.
• Vacation (3 weeks starting out).
• Supplemental leave (used in conjunction with Washington Paid Family & Medical Leave).
• 401K with matching company funds.
• Quarterly bonus structure.
• Tuition reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior