technologies-expected :

technologies-optional :

about-project :

Are you passionate about building the future with Artificial Intelligence? Do you want to be at the forefront of innovation?
At Eviden, we are expanding our capabilities and establishing a center of excellence for Data & AI. We are looking for a motivated Data Scientist to join our dedicated team of specialists. In this role, you will not just analyze data; you will be a key player in developing and scaling our AI solutions, directly impacting our products and strategic decisions. This is a unique opportunity to grow with us and shape the future of AI within our organization.

responsibilities :

Develop AI/ML Solutions: Design, build, and deploy end-to-end machine learning models to solve complex business challenges (e.g., classification, regression, clustering, forecasting).
Data Exploration & Analysis: Proactively identify opportunities in large datasets, perform exploratory data analysis, and generate actionable insights to guide business strategy.
Collaboration & Innovation: Work closely with a team of data engineers, AI specialists, and business stakeholders to define project requirements and deliver robust, data-driven solutions.
Communicate Insights: Translate complex findings into clear, concise language and compelling visualizations for both technical and non-technical audiences.
Model Lifecycle Management: Take ownership of the entire model lifecycle, from prototyping and validation to deployment, monitoring, and continuous improvement.

requirements-expected :

Experience: A solid track record with 3-4 years of commercial experience in a Data Scientist or similar role.
Programming Skills: Strong proficiency in Python and its core Data Science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
Experience with Retrieval-Augmented Generation (RAG) techniques
Database Proficiency: Fluency in SQL with hands-on experience querying relational (e.g., PostgreSQL) and non-relational (e.g., MongoDB) databases.
Machine Learning: A strong theoretical understanding and practical application of machine learning algorithms and best practices.
Data Visualization: The ability to create impactful data visualizations using tools like Matplotlib, Power BI or Tableau.
Essential Tools: Experience with version control systems (Git) and development environments like Jupyter Notebooks/JupyterLab.
Cloud Experience (Bonus): Familiarity with a major cloud platform (AWS, GCP, Azure) is a significant advantage.
B2/C1 English: mandatory

offered :

Courses and certifications (e.g., Google Cloud, AWS, ITIL)
Wellbeing programs & work-life balance - integration and passion-sharing events
Private medical and dental care
Family-friendly offices: Supporting working parents
Benefits platform – shopping, cinema, sport, etc.
Co-funding of sport activities (e.g., Multisport & OK system cards, b-active program)
Conferences and expert communities
Gift packages for special occasions: Easter, Christmas, Children’s Day
Appreciation for seniority: additional days off, Atos Jubilee gifts
Charity and eco initiatives
Hybrid working mode (max. 2 times per month in the office, based on your location)

benefits :

technologies-optional :