Senior Data Scientist

About the Role Join Alstom’s data science team to shape next-generation data-driven solutions for the mobility industry. You will design and implement ML models and AI software modules across maintenance, operations, energy, and city flow domains, collaborating with engineering, data engineers, DevOps/MLOps, and HMI designers. What You'll Do

• Design and develop data-driven solutions, integrating engineering aspects and evaluating financial impacts
• Implement feature selection/extraction methods to improve ML models and derive interpretable insights
• Build and optimize machine learning models, including supervised and unsupervised approaches
• Assess and enhance the quality of incoming data and model outputs using appropriate evaluation metrics
• Collaborate with domain experts to define and meet business requirements
• Create reports and explanatory materials to communicate insights effectively
• Evaluate opportunities from emerging mathematical approaches and data science technologies
• Apply strong testing and quality assurance practices What We're Looking For
• Masters Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines
• 7+ years of experience in data science/machine learning
• Excellent knowledge of Python programming
• Understanding of modern statistics, including time-series and signal processing, text mining, or image processing
• Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow)
• Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning)
• Strong knowledge on Generative AI, Large Language Models
• Experience in building and optimizing supervised and unsupervised ML models
• Experience with database management (SQL, Elasticsearch, etc.)
• Proficiency in a LINUX environment (shell scripting)
• Optional: Experience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining
• Optional: Familiarity with Git and release management Nice to Have
• Experience with domain-specific applications in mobility/transport data
• Familiarity with deployment and monitoring of ML models in production Compensation & Benefits
• Flexible, inclusive working environment with opportunities to grow across functions and countries
• Work with cutting-edge technologies to revolutionize digital mobility
• Cross-functional collaboration with engineering, data, DevOps/MLOps, and domain experts
• Investment in development through award-winning learning programs
• Progress toward leadership or technical expert roles
• Competitive reward package with life, medical, and pension coverage