Senior, Data Scientist F/H, Rueil-Malmaison

Your role: We’re looking for a curious, fast-moving applied research scientist who loves turning cutting‑edge papers into prototypes and pushing them further. You combine strong transformer fundamentals with rigorous experimentation, solid engineering habits, and an end‑to‑end maker mindset — from preparing the data to building the model to crafting demos that make the value visible. You thrive in a collaborative environment, engage actively with the research community, and enjoy working with product and business teams to translate ideas into real impact.

Your responsibilities:

Develop advanced representations for core modalities

— time series, tabular, text, and graph/topology, visual/3D data

Rapidly translate state‑of‑the‑art research into prototypes , adapting multimodal and transformer‑based architectures to Schneider‑specific datasets

Build robust, reproducible ML pipelines , covering data preparation, experiment tracking, baselines, ablations

Lead the creation and preparation of multimodal datasets , transforming raw data (such as time‑series signals, structured tables, documents, diagrams, and system relationships) into clean, usable training datasets

Collaborate with domain experts and product teams

to align modeling choices with physical constraints and convert prototypes into clear, impactful demonstrations

Your profile: Required Qualifications

PhD

in Machine Learning, AI, Computer Vision, NLP, Robotics, or related field with strong foundations in transformers and modern representation learning. We are also open to exceptional candidates from top Master’s programs or leading engineering schools with demonstrated research or applied excellence.

Demonstrated experience in

multimodal ML , with strong skills in at least two core modalities:

Time‑series modeling (e.g., forecasting, anomaly detection, foundation models)

Tabular/structured data modeling or feature representation

Text understanding (LLMs, embeddings, document understanding)

Graph learning (GNNs, message passing, topology‑aware modeling)

Visual modalities (2D/3D)

Strong hands‑on experience with PyTorch, custom model architectures, and efficient training/finetuning methods.

Ability to design clean, rigorous experiments (baselines, ablations, evaluation protocols) and communicate findings clearly.

Solid engineering discipline: Git, PRs, code reviews, reproducibility, experiment tracking, and collaborative development practices.

Preferred Skills

Interest or familiarity with

engineering, energy, or physical systems

— curiosity about real‑world technical domains is a strong plus.

Exposure to

simulation‑based learning, physics‑aware models, or neuro‑symbolic approaches .

Comfortable moving between

research and applied prototyping , turning ideas into working demos.

Contributions to

open‑source projects , workshops, or scientific publications.

What We Offer

The opportunity to shape the next generation of multimodal AI systems for energy, industry and sustainability.

Access to rich, real‑domain multimodal datasets, rarely available in academic or tech environments.

A role at the intersection of AI research, physical systems understanding and sustainability, working on problems with real impact.

A fast moving, collaborative, and deeply technical team, embedded within Schneider Electric’s global AI strategy and innovation ecosystem.

Equal Employment Opportunity Statement Schneider Electric aspire to be the most inclusive and supportive company in the world, offering fair opportunities to all, everywhere, and ensuring all employees feel valued and safe to give their best selves. We believe our differences make us stronger as a company and as individuals, and we commit to promoting inclusion in everything we do.

In Schneider Electric, we respect the highest standards of ethics and compliance, and we believe trust is a core value. Our Code of Conduct underpins every aspect of our activity and our willingness to behave respectfully and in good faith with all stakeholders. Our Charter of Trust—our Code of Conduct—demonstrates our commitment to ethics, safety, sustainability, quality, and cybersecurity. Discover our trust charter here.

Schneider Electric is an equal opportunity employer. Our policy is to provide equal employment and advancement opportunities in all aspects of the application process for all qualified individuals, regardless of origin, religion, color, gender, disability, ancestry, age, military status, sexual orientation, marital status, or any other protected characteristic.

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