Partial Discharge Data Scientist: Edge & Cloud

Optics11; Netherlands; On-site; EUR 65,000 - 110,000; Full time

Job summary

Optics11 is seeking an experienced Data Scientist to develop advanced analytics for its partial discharge monitoring and predictive maintenance platform. You will translate complex engineering challenges into scalable data-driven solutions that enable acoustic emission monitoring for energy infrastructure.

You will work closely with cross-functional teams (embedded, software, and hardware) to design, develop, and deploy advanced algorithms that predict infrastructure failures.

Qualifications

• Strong experience with Python and data-science libraries (pandas, NumPy, SciPy, scikit-learn).
• Strong foundation in statistics, algorithms, machine learning and data modelling.
• Practical experience analysing sensor signals and time-series data.
• Solid understanding of signal-processing techniques (filters, denoising, spectral analysis, FFT or wavelet transforms, dimensionality reduction).
• Experience deploying machine-learning models in production or cloud environments.
• Ability to connect patterns in data with physical processes and real-world system behaviour.
• Experience with at least one deep-learning framework (PyTorch, TensorFlow, or JAX).
• Ability to write clear, modular, tested Python code.
• Experience contributing to end-to-end data-science or ML projects from framing to deployment.

Responsibilities

• 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 patterns and improve monitoring platform performance.
• Develop signal-processing, feature-engineering, statistical-modelling, and ML pipelines.
• Collaborate with software and platform engineers to integrate algorithms into cloud monitoring and edge environments.
• Monitor deployed algorithm performance and contribute to model maintenance, retraining, and continuous improvement.

Skills

Python & libraries

Sensor data analysis

Time-series data

Signal processing

ML deployment

Deep learning frameworks

Experimentation & deployment

Education

MSc or PhD in science/engineering

Tools

QuestDB

MongoDB

PostgreSQL

CUDA

Job description

Optics11 is seeking an experienced Data Scientist to develop advanced analytics for its partial discharge monitoring and predictive maintenance platform. You will translate complex engineering challenges into scalable data-driven solutions that enable acoustic emission monitoring for energy infrastructure.

You will work closely with cross-functional teams (embedded, software, and hardware) to design, develop, and deploy advanced algorithms that predict infrastructure failures.