Data Scientist II (North America Quality Center - NAQC)

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Hyundai's North American Quality Center (NAQC) is looking for a Data Scientist for the Strategy and Analysis Team.

The Team:

NAQC is the quality arm for Hyundai Motor Group (HMG)'s North American vehicle models. NAQC seeks to further Hyundai's goal of becoming the leading automotive manufacturer in North America by delivering uncompromising quality and exceeding consumer expectations.

In the near term, this role will focus on strengthening the organization's data foundation by partnering with IT and business stakeholders to validate data sources, improve data quality, establish trusted reporting structures, and support scalable analytics processes. Success in this phase will enable the development of advanced analytics, predictive modeling, forecasting, and experimentation capabilities across the organization.

• Understand and follow the department’s business model, strategic direction, purpose, and mission

Data Foundations & Data Quality

• Partner with IT, database administrators, and business stakeholders to validate data sources, business logic, and reporting methodologies across enterprise systems
• Investigate and resolve data quality issues by identifying inconsistencies, gaps, and root causes within critical quality and warranty datasets

Analytics & Data Science

• Develop and maintain forecasting models to support performance tracking, planning, and proactive quality risk identification across IQS, warranty, durability, and other key quality indicators
• Build and deploy predictive models, including future failure rate modeling and early failure detection
• Design and implement Priority Rating Scores to support data-driven prioritization and decision-making
• Perform advanced analytics to identify trends, root causes, and improvement opportunities
• Conduct A/B testing and experimental design to evaluate initiatives and quantify business impact
• Perform “what-if” scenario analysis to support strategic and operational decisions
• Integrate and analyze data from multiple structured and unstructured data sources
• Develop and maintain ETL pipelines and data workflows to ensure reliable and scalable data processing
• Design, build, and maintain dashboards and reporting tools (like Power BI) to support business users
• Utilize tools like Python and Alteryx for data analysis, modeling, and automation
• Complete ad hoc analytical requests and proactively identify new opportunities for impact
• Communicate analytical results, insights, and recommendations clearly to stakeholders and leadership
• Collaborate with cross-functional teams and global affiliates to deliver data-driven solutions
• Contribute to the growth of the organization's analytics capabilities by sharing knowledge, promoting best practices, and supporting the development of peers and business stakeholders
• Work with a high level of autonomy and ownership to drive initiatives from concept to execution

Physical Demands, Work Environment, Travel Expectations:

• Occasional domestic and international travel

• Bachelor’s or Master’s degree in data science, statistics, engineering, computer science, or related quantitative field
• 4+ yearsof experience in data science or advanced analytics with demonstrated ownership of end-to-end analytics projects
• Experience with predictive modeling, forecasting, and experimentation
• Strong proficiency in Python and SQL
• Experience with predictive modeling, statistical analysis, and A/B testing
• Experience handling large, complex datasets (structured and unstructured)
• Knowledge of ETL processes and data pipeline development
• Experience validating, reconciling, and assessing data quality across multiple data sources
• Pro…