Lead Data Scientist, Timeseries ML & Optimization

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future.

Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability.

Within our Global AI Hub we combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization.

Your role :

TheAI Solutions team is in charge of developing AI use-cases for both external Schneider Electric customers (digital buildings, microgrids, industrial automation, etc.) and internal functions (HR, finance, marketing, customer support, etc.).

We are looking for a Lead Data Scientist.

Your responsibilities :



* interact continuously with internal or external customers to gain a good understanding of their needs, propose relevant solutions, and support them as needed,



* collect, evaluate and select Artificial Intelligence / Machine Learning use cases, with a focus on business value and business and technical risks - in partnership with the Product Managers



* specify, design, implement, test, validate, and industrialize machine learning, optimization, advanced data management, artificial intelligence, and analytic functions to be integrated in internal or external products, systems and solutions - i.e.

from technical risk exploration to operational deployment,



* contribute to cutting-edge innovation / technology actions (e.g., prototype developments, experimentations, analytic competitions) involving research, standardization, development of intellectual property - patents, papers, open source -, partnerships, etc.



* apply maturation and development processes and good practices defined within the Artificial Intelligence Hub, and contribute to their updates in an ever-evolving context,



* share knowledge, teach and coach within the Artificial Intelligence Hub and beyond,



* promote Schneider Electric's strategy in the Analytics / Artificial Intelligence / Data Science domain through papers, blogs, conference presentations, and contribute to internal and external cross-function communities.

Your profile :



* Master or PhD or equivalent diploma in optimization / operational research and timeseries machine learning / data science / artificial intelligence



* Additional education in signal processing, control theory, statistics is valuable.



* Additional education in genAI, agentic frameworks, etc.

is valuable



* 3-5 years of experience in optimization preferably with timeseries (optimal control / model predictive control / predict-then-optimize, optimal scheduling / planning), machine learning with timeseries (clustering, classification, profiling, forecasting, fault and anomaly detection, predictive maintenance), mathematical programming (efficient coding of vectors and matrix-based algorithms), visual analytics and ...