> Markdown version of [/jobs/ext/2016509-partial-discharge-data-scientist](https://www.wearedevelopers.com/jobs/ext/2016509-partial-discharge-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Partial Discharge Data Scientist - **Company:** OPTICS11 LIFE INC. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Algorithm Design, Automation of Tests, Program Optimization, Nvidia CUDA, Databases, Continuous Integration, Data Files, General-Purpose Computing on Graphics Processing Units, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, NumPy, Tensorflow, SciPy, Signal Processing, Cloud Platform System, Real Time Systems, Feature Engineering, Cloud Monitoring, Pytorch, Deep Learning, Pandas, Scikit Learn, Data Analytics, Machine Learning Operations, Multiaccess Edge Computing, Software Version Control - **Published:** August 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8ut6nqpj ## About the Role Previous experience in partial discharge, acoustic emission or electrical signal processing is an advantage, but not a dealbreaker. We value strong analytical thinking, curiosity, and the willingness to learn new domains., * Strong professional experience with Python and commonly used scientific and data-science libraries (e.g., pandas, NumPy, SciPy, scikit-learn). * Strong foundation in statistical analysis, algorithm development, machine learning, and data modelling. * Practical experience analysing sensor signals and time-series data. * Solid understanding of signal-processing techniques such as filtering, denoising, spectral analysis, Fourier or wavelet transforms, and dimensionality reduction. * Experience developing, validating, and 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, such as PyTorch, TensorFlow, or JAX. * Ability to write clear, modular, tested, and maintainable Python code. * Experience contributing to end-to-end data-science or ML projects, from problem framing and experimentation to deployment and monitoring., * You have at least 3 years of professional experience in data science with a focus on sensor data analysis. * Familiarity with real-time systems, edge computing, or predictive maintenance solutions is a plus. * M.Sc. or Ph.D. degree in a relevant discipline in science or engineering. * Strong analytical and problem-solving skills. * Solid understanding of mathematics and physics, with the ability to apply theory to real engineering problems. * A pragmatic, hands-on mindset and willingness to work with imperfect real-world data. * You have strong verbal and written communication skills in English (Dutch is an advantage). * Ability to work independently, take ownership, and collaborate effectively across disciplines. Nice to Have: * Experience with partial-discharge, acoustic, vibration, electrical, or other condition-monitoring data. * Experience with predictive maintenance, anomaly detection, fault diagnosis, or remaining-useful-life estimation. * Knowledge of time-series and general-purpose databases such as QuestDB, MongoDB, or PostgreSQL. * Experience with experiment tracking, dataset or model versioning, and reproducible ML workflows. * Experience with GPU computing, CUDA, model optimization, or real-time edge deployment. * Familiarity with MLOps practices, automated testing, CI/CD, and production model monitoring. ## Description Optics11 is a deep-tech company developing advanced fiber-optic sensing technologies for challenging environments and applications in energy and underwater security. Our systems enable high-performance sensing and monitoring through advanced photonics, signal processing, and data-driven intelligence. We are expanding our partial discharge R&D team with a Data Scientist who is motivated to translate complex business and engineering challenges into scalable, data-driven solutions that enabling next-generation acoustic emission monitoring solutions by processing sensor signals to early detect, localize and quantify partial discharge in energy infrastructure. You will work closely with cross-functional teams (embedded, software, and hardware) to design, develop, and deploy advanced algorithms that predict energy infrastructure failures., * 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 * 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. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Vectorize all the things! 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