Data Scientist H/F - Alstom Saint-Ouen - 41

Req ID :469648

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

Data Scientist (F/H/X)

Alstom announces an opening for a Data Scientist in Saint Ouen sur Seine. This position supports Alstom Data Science and AI programs by developing, testing, validating and industrializing data-driven solutions in the mobility domain. The primary goal of these programs is to develop AI/ML software modules to improve customer performance and experience using existing and new data analytics, supported by advanced simulations and domain expertise. The main purpose of this position is to extract key insights from mobility data using a variety of tools and techniques, including machine learning, statistical modeling and data visualization, in order to contribute to the development of zero-to-hero analytics applications (proof of concept to free-for-tender) in maintenance, operations, energy, and city flow domains. In this capacity, you will BE able to work on our next generation data-driven solutions for the mobility industry, within a lean startup environment, in collaboration with engineering and mobility experts, data engineers, DEVOPS/MLOPS engineers, and HMI designers/storytellers.

Key accountabilities :

Define, develop, manage & sustain the data model to meet project/customer needs, by supporting data science activities to :

Design and develop data-driven solutions including integration of engineering aspects and evaluation of financial impacts

Implement feature selection/extraction methods to improve ML models, derive interpretable insights and solve complex problems

Build machine learning models, including unsupervised models and simulation tools to support business needs

Assess and enhance the quality of incoming data as well as of model output, after selecting appropriate evaluation metrics

Collaborate with domain experts to understand business requirements and define the best approach to meet customer needs

Build reports and explanatory materials to share with engineering experts

Evaluate the opportunities from new mathematical approaches and data science technologies

Apply a strong testing and quality assurance practices

Educational Requirements


Degree in computer science or engineering supplemented by extensive training in data science/ML or related discipline


Master's degree in the fields of computer science, statistics, machine learning or applied mathematics

Experience

Mandatory :

Excellent knowledge of Python programming

Knowledge of fundamentals of modern statistics, including time-series and signal processing, text mining or image processing

Experience with Python data science stack (pandas, scikit-learn, Keras, NumPy, TensorFlow)

Strong knowledge of artificial intelligence & machine learning algorithms (e.g. classification, regression, dimensionality reduction, neural networks, deep learning etc.)

Experience in building supervised and unsupervised ML models and in optimizing model (hyper-)parameters tuning for performance and costs

Experience with database management (SQL, ElasticSearch, etc.)

Experience with LINUX environment (shell scripting)

Desirable :

Experience with PHM or predictive maintenance

Experience in traffic modelling

Experience in NLP

Experience in video analytics

Experience in sequence mining

Experience in log analytics

Experience with Git and release management

Competencies & Skills

Proven track record in high-quality data science-oriented solutions, including implementation of testing strategies and debugging

You are truly passionate about data science, ready to take new challenges, you are proactive and possess strong organizational and planning skills, along with excellent communication and presentation capabilities

Flexibility to work successfully with both local and remote / international teams

Fluent English

Perspective candidates will BE asked to present their previous work (if possible) to demonstrate their data science proficiency levels

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 note

As 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.

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Database, Computer Science, Testing, Quality Assurance, SQL, Technology