OverviewReq ID : 497548Leading 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 approachesResponsibilitiesDevelop 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.QualificationsMandatoryEngineering 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.DesirablePhD in the fields of physics, engineering, statistics, computer science or related disciplinesExperienceMandatory :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 miningExperience with machine learning algorithms tuning and validationData visualization (Python modern frameworks)Experience with database management (PostgresSQL, noSQL, etc.)Experience with LINUX environment (shell scripting) and modern development stackDesirable :Experience with predictive maintenance applicationsKnowledge of MLOps tools (mlflow, etc.) and data version controlExperience with modern software development technologies (git, agile methodologies)Exposure to data engineering technologies (SQL, streaming processing concepts, data lake concepts ...) and MLOpsExperience working with cloud providers like Microsoft Azure, AWS or GCPKnowledge of docker, kubernetes and CI / CD stackSkillsTechnical person, problem solver with good communication skillsProven track record for designing stable solution, testing and debuggingDemonstrated teamwork and collaboration in a professional settingFluent English. French is a plus.BenefitsBe 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 noteAs 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.Job Segment: Data Mining, Cloud, Computer Science, Testing, Technology, Research
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