Data Scientist

Your future role

Take on a new challenge and apply your data science expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates.

You''ll play a key role in shaping Alstoms next-generation data-driven solutions for the mobility industry. Day-to-day, youll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains.

Youll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience.

Well look to you for:

• Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts
• Implementing feature selection/extraction methods to improve ML models and derive interpretable insights
• Building and optimizing machine learning models, including supervised and unsupervised approaches
• Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics
• Collaborating with domain experts to define and meet business requirements
• Creating reports and explanatory materials to communicate insights effectively
• Evaluating opportunities from emerging mathematical approaches and data science technologies
• Applying strong testing and quality assurance practices

All about you

We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role:

• 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]