Applied Data Scientist — Predictive Maintenance at Scale

Alstom; Saint-Ouen-sur-Seine; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

A major mobility solutions company is seeking an Applied Data Scientist to join their Advanced Maintenance Analytics team in Saint-Ouen, France. You will be responsible for developing and deploying machine learning algorithms, contributing to the automation of the machine learning development lifecycle, and collaborating in an international environment. The position requires a strong background in data science, programming, and a master's or engineering degree, allowing you to solve challenging problems in transportation.

Prestations

Dynamic team environment

Opportunity to work on innovative projects

Commitment to diversity and inclusion

Qualifications

• Experience in data mining or industry-level development of machine learning models.
• Strong foundation in modern statistics, including time series analysis.
• Experience in database management with PostgreSQL and NoSQL.

Responsabilités

• Develop machine learning and statistical algorithms.
• Contribute to full machine learning lifecycle automation.
• Focus on scalable solutions and state-of-the-art algorithms.

Connaissances

Programming in Python

Machine learning algorithms tuning

Data visualization with Python

Good communication skills

Formation

Engineering or Master's degree

PhD in Physics, Engineering, Statistics or related disciplines

Outils

scikit-learn

PyTorch

PostgreSQL

Linux

Docker

Kubernetes

Description du poste

A major mobility solutions company is seeking an Applied Data Scientist to join their Advanced Maintenance Analytics team in Saint-Ouen, France. You will be responsible for developing and deploying machine learning algorithms, contributing to the automation of the machine learning development lifecycle, and collaborating in an international environment. The position requires a strong background in data science, programming, and a master's or engineering degree, allowing you to solve challenging problems in transportation.