Partial Discharge Data Scientist – Edge & Cloud ML

Optics11 Life; Amsterdam; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Competitive salary and benefits

Fresh team lunches 3x/week

Team activities and company events

Job summary

Optics11 Life in Amsterdam seeks an experienced Data Scientist to develop advanced analytics for partial discharge monitoring and predictive maintenance. You will translate complex challenges into scalable data-driven solutions and collaborate across embedded, software, and hardware teams to deploy algorithms in cloud and edge environments.

Strong Python data-science skills and signal-processing expertise are essential, with experience in production ML, time-series analysis, and English

Qualifications

• Strong Python and scientific libraries (pandas, NumPy, SciPy, scikit-learn) proficiency.
• Strong foundation in statistical analysis, algorithm development, ML, and data modelling.
• Experience analysing sensor signals and time-series data.
• Solid understanding of signal-processing techniques (filtering, denoising, spectral analysis, Fourier or wavelet transforms).
• Experience deploying ML 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 end-to-end data-science or ML projects from framing to deployment and monitoring.
• English communication skills; Dutch is a plus.

Responsibilities

• Design, develop, validate, and maintain algorithms for sensor data analysis, partial-discharge monitoring, and predictive analytics.
• Translate complex requirements into 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 machine-learning pipelines.
• Collaborate with software and platform engineers to integrate algorithms into the cloud monitoring platform and edge environments.
• Monitor deployed algorithm performance and contribute to model maintenance, retraining, and continuous improvement.

Skills

Python

Pandas

NumPy

SciPy

Scikit-learn

PyTorch

TensorFlow

JAX

Time-series analysis

Signal processing

Machine learning

Production deployment

English communication

Education

M.Sc. or Ph.D. in science/engineering

Tools

QuestDB

MongoDB

PostgreSQL

Job description

Optics11 Life in Amsterdam seeks an experienced Data Scientist to develop advanced analytics for partial discharge monitoring and predictive maintenance. You will translate complex challenges into scalable data-driven solutions and collaborate across embedded, software, and hardware teams to deploy algorithms in cloud and edge environments.

Strong Python data-science skills and signal-processing expertise are essential, with experience in production ML, time-series analysis, and English