Applied Data Scientist (FM) 1

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

Req ID: 497548

Leading societies to a low carbon future and acknowledging the current transformative power of AI, Alstom develops and markets mobility solutions that provide the sustainable foundations for the future of transportation. Our product portfolio ranges from high‑speed trains, metros, monorail and trams to integrated systems, customised services, infrastructure, signalling and digital mobility solutions. Joining us means joining a caring, responsible and innovative company where more than 70,000 people lead the way to greener and smarter mobility worldwide.

Join us as an Applied Data Scientist in the Advanced Maintenance Analytics team based in Saint Ouen, France.

As a part of its predictive maintenance solutions, Alstom Services Advanced Maintenance Analytics aims to offer tools and enhance state‑of‑the‑art specific solutions to manage the health of rolling stock and signalling equipment to detect, prevent and forecast degradation and provide diagnosis to maintenance teams at fleet scale.

Purpose

You will be a core member of the machine learning team dedicated to developing and applying state‑of‑the‑art advanced maintenance algorithms for railway customers and projects around the globe. This position is open to both applied data scientists with a passion to apply state‑of‑the‑art methods and technologies to solve data science problems at scale as well as ML engineers with a strong data science background and an inclination for the productionalization of data science solutions.

Your purpose will be:

• Contribute to the R&D development and deployment of the different machine learning, statistical and operational algorithms for the different industrialised use cases of our portfolio of services and solutions.
• Contribute to the MLOps strategy and model industrialisation at scale (CI / CD of developed models, model monitoring, data labelling, training and improvement, etc.)
• Be a proactive member in the choice and applied research of different machine learning, statistical and data mining approaches.

Main Responsibilities

• Develop feature engineering, machine learning and statistical algorithms and models.
• Continuously improve the performance and scalability of our solution.
• Contribute to the automation of the full machine learning development lifecycle: scoping, development, training, validation, deployment, monitoring and productionalization.
• Bring new state‑of‑the‑art algorithms with an applied and solution‑oriented focus.

Required Competences

Mandatory

Engineering or masters degree supplemented by experience in machine learning, data mining or industry‑level development and productionalization of machine learning models and data science solutions.

Desirable

PhD in the fields of physics, engineering, statistics, computer science or related disciplines.

Experience

Mandatory

• Expert knowledge of programming languages like Python and popular data science programming frameworks and tools (scikit‑learn, PyTorch, etc.).
• Knowledge of fundamentals of modern statistics including time series, signal processing and text mining.
• Experience with machine learning algorithms tuning and validation.
• Data visualization (Python modern frameworks).
• Experience with database management (PostgreSQL, NoSQL, etc.).
• Experience with LINUX environment (shell scripting) and modern development stack.

Desirable

• Experience with predictive maintenance applications.
• Knowledge of MLOps tools (mlflow, etc.) and data version control.
• Experience with modern software development technologies (git, agile methodologies).
• Exposure to data engineering technologies (SQL, streaming, processing concepts, data lake concepts, etc.) and MLOps.
• Experience working with cloud providers like Microsoft Azure, AWS or GCP.
• Knowledge of Docker, Kubernetes and CI / CD stack.

Skills

• Technical person, problem solver with good communication skills.
• Proven track record for designing stable solutions, testing and debugging.
• Demonstrated teamwork and collaboration in a professional setting.
• Fluent English; French is a plus.

We Offer

Be part of a dynamic team in charge of building data science and advanced analytics solutions addressing in an international company, solving the most interesting challenges for tomorrow's mobility at global scale. We, as a team, deep dive into multiple machine learning and data science techniques and iterate rapidly with a focus on end‑to‑end feasible and actual impact implementations. You will work inside an international team facing the challenges of real production projects.

You don't need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family you will be proud. If you're up for the challenge we'd love to hear from you!

Important to Note

As a global business we are an equal‑opportunity employer that celebrates diversity across the 63 countries we operate in. We're committed to creating an inclusive workplace for everyone.

Employment Type: Full Time

Experience: years

Vacancy: 1