Apply on Employer Site

Kia America · 2 months ago

Emerging Field Data Engineer/Specialist

Irvine, CA

Full-time

Hybrid

Mid, Senior Level

$75K/yr - $100K/yr

3+ years exp

Kia America is redefining value in the automotive industry through innovative products and a collaborative culture. The Emerging Field Data Engineer/Specialist will support the Emerging Field Data Manager by identifying potential safety and noncompliance issues early in a model's life cycle using Kia's Safety Data Analytics Infrastructure.

Automotive

Responsibilities

Perform detailed screening of potential safety issue alerts and escalate relevant alerts for further data analysis and/or investigation

Evaluate escalated alerts for any potential trends and communicate findings to Emerging Field Data Manager

Develop sophisticated monitoring criteria to ensure that any developments on closed cases are tracked in a timely manner

Assist in the continuous improvement and development of Safety Data Analytics Infrastructure (SDAI) by creating training data for improving machine learning model accuracy and communicating opportunities to improve efficiency to Emerging Field Data Manager

Qualification

Statistical analysisSAS programmingSQLAutomotive systems knowledgeTechnical communicationMicrosoft ExcelMicrosoft PowerPointAnalytical skillsAttention to detailTeamwork skills

Required

BS degree in Engineering or Automotive Technology or equivalent work experience required

Bachelors degree in technical field or equivalent work experience

3-7 years of experience in technical positions such as safety analysis, product quality, technical customer assistance, or in a product engineering environment

Written and oral technical communications experience

Automotive, aerospace, commercial vehicle, or similar technical work experience required

Working knowledge of statistical analysis concepts and software

Excellent written and oral communication skills

Excellent analytical skills and attention to detail

Excellent teamwork skills

Intermediate knowledge of automotive systems and components

Knowledge of PC software such as Microsoft Excel and PowerPoint

Knowledge of statistics

Knowledge of SAS programming language and Structured Query Language (SQL)

Knowledge of SAS Visual Analytics

Must have a valid driver's license