Data Scientist bei Kaiser Aluminum

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!

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 $125,000 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.