Applied Data Scientist (F/M)

Date: 5 Mar 2025

Company: Alstom

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 signaling 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.

Your purpose will be:

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

MAIN RESPONSIBILITIES

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

REQUIRED COMPETENCES

Mandatory

Engineering or master's degree supplemented by experience in machine learning, data mining, development of similar applications.

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

EXPERIENCE

Mandatory:

1. Expert knowledge of programming languages like Python and popular data science programming framework and tools (sklearn, PyTorch, etc.)
2. Knowledge of fundamentals of modern statistics, including time series, signal processing, and text mining.
3. Experience with machine learning algorithms tuning and validation.
4. Experience with database management (PostgresSQL, noSQL, etc.)
5. Experience with LINUX environment (shell scripting) and modern development stack.
6. Experience with predictive maintenance applications.
7. Knowledge of MLOps tools (mlflow, etc.) and data version control.
8. Experience with modern software development technologies (git, agile methodologies).
9. Exposure to data engineering technologies (SQL, streaming processing concepts, data lake concepts).
10. Experience working with cloud providers like Microsoft Azure, AWS or GCP.
11. Knowledge of docker, kubernetes and CI/CD stack.

SKILLS

1. Technical person, problem solver with good communication skills.
2. Proven track record for designing stable solutions, testing and debugging.
3. Demonstrated teamwork and collaboration in a professional setting.
4. 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'll be proud. If you're up for the challenge, we'd love to hear from you!

Important to note

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