Partial Discharge Data Scientist
AI
Optics11, a deep-tech company in Amsterdam, is seeking an experienced Data Scientist to develop advanced analytics for partial discharge monitoring and predictive maintenance. The role involves designing algorithms for sensor data analysis, signal processing, and machine learning to predict energy infrastructure failures. Requires at least 3 years of experience, strong Python skills, and a background in statistical analysis and signal processing.
What you'll do
- Design, develop, validate, and maintain algorithms for sensor data analysis, partial-discharge monitoring, and predictive analytics.
- Translate complex business and engineering requirements into robust, production-ready algorithms.
- Analyse large-scale sensor, time-series, and operational datasets to identify meaningful patterns and improve monitoring platform performance.
What you need
Must-have
PythonpandasNumPySciPyscikit-learnStatistical AnalysisAlgorithm DevelopmentMachine Learning
Nice-to-have
JAXReal-time SystemsEdge ComputingPredictive MaintenanceAnomaly DetectionFault DiagnosisRemaining Useful Life EstimationQuestDB
Soft skills
Analytical ThinkingCuriosityWillingness to LearnProblem-solvingCommunicationOwnershipCollaborationPragmaticHands-on Mindset
Data ScientistPartial DischargePredictive MaintenanceSignal ProcessingMachine LearningDeep-techEnergy InfrastructurePythonAmsterdamOn-site