Data Scientist

We are seeking a highly skilled Data Scientist to drive innovation in our partial discharge monitoring and predictive analytics platforms. In this role, you'll translate complex business and engineering challenges into scalable, data-driven solutions, shaping the future of how we detect, interpret, and act on critical sensor data. You will work closely with cross-functional teams (embedded, software, and hardware) to design, develop, and deploy advanced algorithms that predict energy infrastructure failures.

Optics11 Energy is the power-grid reliability arm of Optics11, focused on fiber-optic sensing and analytics for high- and medium-voltage equipment. Our flagship OptiFender platform delivers ultra-early, EMI-immune partial discharge (PD) detection and precise localization across transformers, cables, GIS/GIL and switchgear. We help TSOs/DSOs and industrial operators move from reactive repairs to predictive maintenance, improving safety, uptime, and total cost of ownership. Key responsibilities

• Design and implement advanced algorithms for our partial discharge monitoring platform.
• Translate complex business and engineering requirements into robust, production-ready algorithms.
• Collaborate with data scientists, software engineers, and domain experts to develop data analysis, feature extraction, and signal processing pipelines.
• Explore and analyse large-scale sensor and operational datasets to uncover actionable insights and improve system performance.
• Consult embedded and software teams to optimize algorithm integration into real-time and edge environments.
• Contribute to model validation, performance monitoring, and continuous improvement of deployed solutions.

What's in it for you?

• Innovative high-tech, international organization.
• The opportunity to work in a cross-functional and interdisciplinary environment.
• A lot to learn and to develop, we stimulate personal development.
• A flat organization, the less hierarchy, the better.

• Expert-level proficiency in Python and common data science libraries (e.g., pandas, NumPy, SciPy, scikit-learn).
• Strong background in algorithm development, statistical analysis, and data modelling.
• Solid understanding of signal processing techniques (e.g., filtering, denoising, Fourier/wavelet transforms, PCA).
• Experience building and deploying machine learning models.
• Ability to relate data patterns to physical phenomena in real-world systems.
• Deep learning experience with PyTorch, TensorFlow, or JAX.

Nice-to-Have

• Experience working with big data technologies and cloud platforms (AWS, Azure, GCP).
• Knowledge of database technologies (QuestDB, MongoDB, PostgreSQL).
• GPU programming experience (CUDA) or real-time edge deployment.
• Strong understanding of clean code structure, design patterns, maintainable code practices, and object-oriented programming.
• C/C++ experience., * You have at least 3 years of professional experience in data science with focus on sensor data analysis.
• Familiarity with real-time systems, edge computing, or predictive maintenance solutions is a plus.
• Experience contributing to end-to-end ML projects, from problem framing to deployment and monitoring.
• M.Sc. Or Ph.D. Degree in a relevant discipline in science or engineering.
• Strong analytical and problem-solving skills.
• Excellent practical knowledge of mathematics, physics, data science techniques.
• You have a can-do mentality with no fear of getting your hands dirty when needed.
• You have strong verbal and written communication skills in English.
• You can work independently as well as in a team with well-developed communication skills.