Lead Data Scientist, Timeseries ML & Optimization

Your role :

The AI 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 data exploration.
• Mastered technologies are expected to include Model Predictive Control and Mixed-Integer Linear Programming. Experience with constraint programming, dynamic programming, stochastic programming, metaheuristics, reinforcement learning or other optimization technologies would be a plus.
• At least 2 years of experience in optimization modeling and application development preferably in the energy management field.
• An extra experience in genAI, probabilistic modeling or statistics is valuable.
• Very good data analysis skills and data storytelling, ability to explain complex things in a simple way.
• Good knowledge of industrial python.
• Good software engineering experience: capacity to code, debug, test and troubleshoot throughout the application development process and in agile mode.
• Significant experience with data and machine learning libraries: numpy, pandas, scikit-learn, plotly, matplotlib, glpk, cplex, pyomo, polars, pyarrow, tensorflow...
• Working knowledge of git/github ; Knowledge of the pytest framework.
• Possible knowledge or experience of devops tools, CI/CD with github actions, cloud (Azure, AWS, GCP).
• Very good communication skills, pragmatism, and rigor.
• Team player.
• Listening to others, and conveying messages in an accurate and effective manner.
• Able to explain complex concepts and features to anyone with different mindset/different skills - pedagogical skills.
• Leadership competencies.
• Eager to understand business context and implications.
• Entrepreneur mindset, contributing innovative ideas, taking risks, challenging status quo.
• Sense of responsibility / ownership when facing difficulties. Resilience and trust in others.
• Network builder, promoting synergies within the company and with external partners.
• Consistently involving all stakeholders in plans and decisions that affect them.
• Fluent in English.

We know skills and competencies show up in many ways and can be based on your life experience. If you do not necessarily meet all the requirements that are listed, we still encourage you to apply for the position.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

€36 billion global revenue +13% organic growth 150 000+ employees in 100+ countries #1 on the Global 100 World's most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

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