.Req ID: 290271Leading 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 the 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: OTDDevelopments 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
