Summary
Mira Saada is a Lead Data Scientist based in Paris with 8 years of experience bridging research and applied machine learning across public-sector R&D and academia. With a PhD in Computer Science and a background in hybrid metaheuristics, ranking systems and NLP, she brings deep expertise in supervised learning, large-scale data processing and prototype-to-production development. At Groupe Caisse des Dépôts she progressed from R&D apprentice to lead, driving applied ML initiatives that combine rigorous research methodology with pragmatic engineering. Her academic work and internships show a strong footing in optimization, clustering and learning-to-rank, reflecting an ability to turn novel algorithms into robust systems. Colleagues describe her as a technically curious leader who balances theoretical insight with production-minded delivery.
8 years of coding experience
1 year of employment as a software developer
PhD in Computer Science, Data Science, Bac+8, PhD in Computer Science, Data Science, Bac+8 at Université Paris Cité
Master 2 (M2), Machine Learning pour la Science des Données, Master 2 (M2), Machine Learning pour la Science des Données at Université Paris Descartes
Master's degree, Computer Science, Master's degree, Computer Science at Université M'Hamed Bougara de Boumerdes