Applied Data Scientist (F/M) 1

Alstom; Saint-Ouen-sur-Seine; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading transportation company located in Saint-Ouen-sur-Seine is seeking an Applied Data Scientist to join their Advanced Maintenance Analytics team. This role will involve developing and deploying machine learning models for predictive maintenance solutions. Candidates should have a master's degree in a related field, experience in programming with Python, and familiarity with data science tools. A dynamic work environment and opportunities for growth are provided.

Prestations

Dynamic team environment

International challenges and projects

Opportunity for impactful implementations

Qualifications

• Experience in machine learning, data mining, or productionalization of data science solutions.
• Expert knowledge of programming languages like Python.
• Experience with database management and LINUX environment.

Responsabilités

• Develop machine learning and statistical algorithms and models.
• Improve the performance and scalability of solutions.
• Contribute to the automation of the machine learning development lifecycle.

Connaissances

Programming in Python

Data visualization (Python frameworks)

Machine learning algorithms tuning

Good communication skills

Team collaboration

Formation

Engineering or master's degree in a relevant field

PhD in physics, engineering, statistics, or computer science

Outils

sklearn

PyTorch

PostgresSQL

Docker

Kubernetes

Description du poste

Overview

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 start 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.

Your purpose will be :

• Contribute to the R&D, development and deployment of the different machine learning, statistical and operational algorithms for the different industrialized use cases of our portfolio of services and solutions.
• Contribute to the MLOps strategy and model industrialization 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

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.

Qualifications

Mandatory

Engineering or master's 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 framework and tools (sklearn, 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 (PostgresSQL, 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 ...) 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 solution, testing and debugging
• Demonstrated teamwork and collaboration in a professional setting
• Fluent English. French is a plus.

Benefits

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 deeply 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.

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