Applied Data Scientist (FM) 1

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

Résumé du poste

A leading transportation solutions provider seeks an Applied Data Scientist to join their Advanced Maintenance Analytics team in Saint Ouen, France. The role focuses on developing state-of-the-art algorithms for predictive maintenance, requiring expertise in machine learning and data visualization. The successful candidate will have a strong technical background and problem-solving skills, and will work within an international team on impactful projects.

Qualifications

• Experience in machine learning, data mining or productionalization of ML models.
• Expert knowledge of programming languages like Python.
• Experience with database management systems and modern solutions.

Responsabilités

• Develop and apply advanced maintenance algorithms for railway projects.
• Contribute to the development and deployment of machine learning algorithms.
• Automate the full machine learning development lifecycle.

Connaissances

Machine learning

Data visualization

Problem solving

Teamwork

Communication skills

Fluent English

Formation

Engineering or master's degree

PhD in relevant field

Outils

Python

PostgresSQL

Sklearn

PyTorch

MLOps tools

Docker

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 70000 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.

PURPOSE

You will be a core member of the machine learning team dedicated to developing and apply 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 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

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

REQUIERED 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 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)
• Exposoure 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.

WE OFFER

Be part of a dynamic team in charge of buidling data science and advanced analytics solutions addressing in an international companysolving the most interesting challenges for tomorrows 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 dont 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 youll be proud. If youre up for the challenge wed love to hear from you!

Important to note

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

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full Time

Experience : years

Vacancy : 1