EE Quality Engineer: Data Mining & Telemetry

SEGULA Technologies; Ciudad de México; Presencial; MXN 420.000 - 560.000; Jornada completa

Descripción de la vacante

SEGULA Technologies is seeking an EE Quality Engineer (Systems Data Mining Specialist) to lead data-driven quality improvements for electrical and electronic systems. You will mine telematics, DTCs, OTA metrics, and warranty data to uncover patterns and guide corrective actions.

Collaborating with systems engineers and suppliers, you will translate insights into actionable PCA, update DFMEA/PFMEA, and drive root-cause investigations using structured frameworks.

Formación

• Bachelor's degree in Electrical Engineering, Computer Science, Data Science, Automotive Engineering, or related technical field.
• 3+ years in E/E quality engineering, vehicle systems diagnostics, or automotive data analytics.
• Proficient in SQL; strong Python or R for data wrangling, statistics, and automation.

Responsabilidades

• Mine data from telematics, DTCs, warranty claims, OTA logs, and customer feedback to identify quality insights.
• Apply statistical models and ML techniques to detect emerging E/E quality risks and software anomalies.
• Develop dashboards (Power BI/Tableau) to visualize E/E health, warranty trends, and recall risks for leadership.
• Collaborate with Systems Engineers and suppliers to validate root-cause investigations and drive PCA.

Conocimientos

SQL

Python

R

Pandas

NumPy

Scikit-Learn

Educación

Bachelor's degree in Electrical Engineering or Computer Science or Data Science

Herramientas

Power BI

Tableau

Vector CANoe

CANalyzer

Wireshark

Descripción del empleo

SEGULA Technologies is seeking an EE Quality Engineer (Systems Data Mining Specialist) to lead data-driven quality improvements for electrical and electronic systems. You will mine telematics, DTCs, OTA metrics, and warranty data to uncover patterns and guide corrective actions.

Collaborating with systems engineers and suppliers, you will translate insights into actionable PCA, update DFMEA/PFMEA, and drive root-cause investigations using structured frameworks.