R&D Data Scientist / ML Engineer — Materials AI Innovator

Marble; Nanterre; Hybride; EUR 40 000 - 65 000; Plein temps

Avantages offerts par ce poste

Health insurance 50%

Hybrid work model

Stock option package

Office in Nanterre

Résumé du poste

Recupere Metals is seeking a Junior Data Scientist / ML Engineer to tackle the day-to-day challenges of a growing dataset and to improve models through sound data science. You will enrich the data processing pipeline with insights from materials informatics and ICME concepts.

Under the supervision of the ML Engineering Lead and CTO, you will grow into a mid-level role, owning internal projects and making technical decisions. The position offers a hybrid work setup with an office in Nanterre.

Qualifications

• A STEM background with the ability to translate outputs into measurable, quantitative features for models and controllers.
• Knowledge of feature engineering techniques and exploratory data analysis.
• Statistical and mathematical foundations for modeling problems and data analysis skills.
• Working knowledge of supervised and unsupervised learning.
• Python and the core data science stack (pandas, NumPy, scikit-learn).
• Good coding practices: modularization and object-oriented programming.
• Professional English communication.
• Nice to have: orchestration/MLOps; materials science background; French is a plus.

Responsabilités

• Translate scientific findings into features and models feeding production models and controllers.
• Implement and improve characterization methods using ML techniques.
• Turn domain knowledge into measurable features for final models.
• Benchmark model performance and establish progress benchmarks.
• Spend 10–20% of time on company-wide ML exposure and cross-project learning.

Connaissances

STEM background

Feature engineering

Statistics & math

Supervised & unsupervised learning

Python stack

Code quality

Communication

English

Outils

Pandas

NumPy

scikit-learn

Description du poste

Recupere Metals is seeking a Junior Data Scientist / ML Engineer to tackle the day-to-day challenges of a growing dataset and to improve models through sound data science. You will enrich the data processing pipeline with insights from materials informatics and ICME concepts.

Under the supervision of the ML Engineering Lead and CTO, you will grow into a mid-level role, owning internal projects and making technical decisions. The position offers a hybrid work setup with an office in Nanterre.