Applied Data Scientist FM 479831
Applied Data Scientist FM 479831
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1 Vacancy
Job Description
Req ID:479831
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 highspeed 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 theAdvanced 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 stateofthe 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 stateoftheart advanced maintenance algorithms for railway customers and projects around the globe.
Your purpose will be:
- 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.
- Contribute to the MLOps strategy (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 stateoftheart algorithms with an applied and solution oriented focus
REQUIERED COMPETENCES
Mandatory
Engineering or masters degree supplemented by experience in machine learning data mining development of similar applications.
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 ...
- 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 endtoend 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 equalopportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.
Employment Type
Full Time
