.Req ID: 341519Leading societies to a low carbon future, 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.JOB TITLE Data ScientistDURATION PermanentLOCATION Madrid. Travels at national and international level.PURPOSE OF THE JOB Key accountabilities: Develop approaches to mine, extract, and normalize various types of information from numerous disparate data sources, based on customer requirements.Develop industrial-grade ML/AI/analytics modules and tools designed to address business needs and solve complex problems. This includes designing, coding, validating, testing, automating, and scaling ML/data science algorithms to meet TRL7 requirements.Support field trials with our customers using the mobility analytics software modules and tools.Present results in a clear manner using presentations, interactive dashboards, and reports.Document data science and ML modules and code; contribute and review system, software, V&V; and interface requirements.Attend meetings, submit work progress reports, and perform related duties as required.Performance measurements: OTD Developments QCDEducational Requirements Mandatory: M.S. degree (with supplemented training) in data science, machine learning, computer science, operational research, or applied mathematics. Five or more (5+) years of experience in two (2) or more of the following: software development, data analytics, machine learning, AI.Theoretical knowledge would not be considered.Desirable: PhD in the fields of statistics or machine learning or applied mathematics.Experience: Proven ML / AI background with supervised and unsupervised methods.Strong background with time series data analytics (prediction, pattern detection, anomaly detection, trending/seasonality, FPCA).Highly proficient with Python and a standard set of Python libraries for machine learning, AI, and statistics.Experience in Spark (Scala, Python..).Experience in SQL language and in the use of Relational and non-relational databases.Experience with git, GitHub, and release management tools.Fluent in English. French is a plus.Desirable: Experience with PHM or Predictive Maintenance, experience with developing Python libraries and packages, experience with writing technical documentation, conference papers and trainings, experience with LINUX environment (shell scripting), Big Data and/or distributed processing environments, Agile procedures.Competencies & Skills Passion for developing efficient, testable, scalable, and well-documented code for ML/AI. Excellent analytical, problem-solving, and organizational skills
