Data Scientist II: Quality Forecasting & Analytics

Hyundai America Technical Center, Inc.; Irvine (CA); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

Zero-dollar Employee Premiums

100% Employer-paid Disability and Life

Generous Paid Time Off

Retirement Savings Benefits

Flexible Work Hours

Job summary

Hyundai America Technical Center, Inc. is seeking a Data Scientist II for its North American Quality Center. This role focuses on strengthening the organization's data foundation and developing advanced analytics capabilities.

The successful candidate will need a strong background in Python and SQL, as well as experience in predictive modeling and data analysis. Hyundai offers competitive pay, zero-dollar employee premiums on health benefits, and a fully on-site work schedule.

Qualifications

• 4+ years of experience in data science or advanced analytics.
• Experience with predictive modeling, forecasting, and experimentation.
• Strong proficiency in Python and SQL.
• Ability to handle large and complex datasets.

Responsibilities

• Partner with IT to validate data sources and improve data quality.
• Develop and maintain forecasting models for performance tracking.
• Conduct A/B testing and analyze results for business impact.
• Design dashboards and reporting tools for business users.

Skills

Predictive modeling

Data analysis

Python

SQL

ETL processes

Data visualization

Problem-solving

A/B testing

Education

Bachelor's or Master's in data science or related field

Tools

Power BI

Alteryx

Excel

Job description

Hyundai America Technical Center, Inc. is seeking a Data Scientist II for its North American Quality Center. This role focuses on strengthening the organization's data foundation and developing advanced analytics capabilities.

The successful candidate will need a strong background in Python and SQL, as well as experience in predictive modeling and data analysis. Hyundai offers competitive pay, zero-dollar employee premiums on health benefits, and a fully on-site work schedule.