Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it—innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for a Data Scientist to join the Kaiser Aluminum onsite team in Spokane Washington that has a background in aluminum manufacturing, physical, and mechanical metallurgy!

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).

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.

The Data Scientist is responsible for analysis, design, testing and implementation of existing and new applications and integrations. The ideal candidate will be a strong technical resource with the ability to understand, learn and master many different diverse technologies used across the enterprise, work with minimal supervision, and has ability to work closely with the business and technical resources.

What you will work on:

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.
Provide support for Industry 4.0 initiatives.
Develop, define, and complete on-time assigned research & development chartered projects.
Support plant projects as directed.
Write technical reports summarizing work as well as 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.
5S of assigned areas.

What you will bring to the role:

MS degree in Data Science, or Computational Material Science, or Statistics, or Material Science or Mechanical Engineering is required. A PhD is preferred.
Excellent experience in statistical analysis and computing for data-driven problem solving in manufacturing environment.
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.
An 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.

PREFERRED SKILLS

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.

WORK ENVIRONMENT

Approximately 70% of the job function is performed in an office setting requiring normal safety precautions. 30% of the job function is required in the plant. There is exposure to operating machinery and a manufacturing environment.

We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.

About Kaiser Aluminum: Talented people join our team because we are a company passionate about environmental sustainability, employee growth, contributing back to our communities and championing an inclusive culture.

No third-party candidate submissions are being accepted at this time for this opening

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