Entwicklung und Optimierung von Testdaten-Ökosystemen zur Automatisierung von Prüfständen.
Echtzeitanalyse von Testergebnissen mit KI und Visualisierung in Dashboards.
Gesamtverantwortung für Automatisierungsarchitektur im Testing; Entwicklung von Datenbanken und Automatisierungsskripten.
Implementierung und Pflege KI-basierter Auswertungspipelines zur schnellen Fehlerdetektion.
Bau automatisierter Dashboards für Reporting und Rückverfolgbarkeit.
Requirements
Abgeschlossenes Studium im Bereich Data Science, Elektrotechnik, Physik, Informatik oder eine vergleichbare Qualifikation.
Idealerweise Erfahrung in der Analyse großer Datenmengen sowie in der Arbeit mit Datenbanken, Statistik- oder Visualisierungstools (z. B. Python, R, SQL, Power BI, Tableau).
Kenntnisse in Batterie- oder Testsystemen – oder Motivation, sich schnell in diesen Bereich einzuarbeiten.
Kenntnisse in Softwareentwicklung (Backend/Frontend), Testautomatisierung und CI/CD-Umgebungen (z. B. Docker).
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