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QUI SOMMES-NOUS ?

Thales Digital Factory s'inscrit dans le programme de transformation de Thales qui a pour ambition de devenir un acteur incontournable et exemplaire du digital, et ce dans l'ensemble de ses marchés. Notre mission consiste à accélérer la transition numérique du Groupe Thales en s'aventurant dans de nouveaux modes de travail et de décision. Notre stratégie s'articule autour de 6 valeurs : Responsabilisation, Orientée sur la donnée, Centrée sur l'utilisateur, Collaboration, Amélioration continue et Culture de l'échec. Nos bureaux se répartissent de Paris à Singapour en passant par Montréal au cœur d'écosystèmes innovants. Thales Digital Factory se distingue également grâce à son incubateur qui accompagne des start-ups internes et externes, ses plateformes digitales, son centre d'excellence Cloud et le développement de MVP, porteurs d'innovation pour l'offre digitale du Groupe et de nos clients.

Data Science CANDIDATES THAT WOULD IMPRESS US PROFILE: You graduated with a Master of Engineering, Computer Science or any other relevant field in University You love challenges and look forward working on high added value projects You think of yourself as a creative person and love to think "outside the box" You are recognised as a team-player and enjoy collaborative work You are a mentor willing to share your knowledge You are dynamic and meticulous COMPETENCIES: You have in-depth knowledge of one of the following specialties: Algorithm design Cooperative Human/Machine dialog Data Driven AI Symbolic AI and reasoning Pure back Programming Languages & frameworks Mathematics and statistics You know how to explore, use and enhance data, whatever its type (structured or unstructured data) and its source (internal, external, web, connected objects, etc.) You are able to present your results: storytelling, translation of insights into action plans, dashboard creation, data visualisation NICE TO HAVE: + [Specific knowledge linked to the domain / product / project to be filled in by Engineering Manager or Talent Acquisition] LIFE AS A THALES DATA SCIENCE ROLE As a Data Science Role within Thales, you will: Find actionable insights about how the product surfacing algorithm can be improved Collaborate with our data engineering team to build scalable data pipelines Build Machine Learning models to surface better products on our marketplace Design and implementing solutions for bringing algorithm transparency to our partners Deploy those solutions to production and monitoring their impact with A/B testing Work on Machine Learning (Neural Network - NN, CNN, RNN, Deep Learning, Reinforcement Learning, Frugal Learning, ...), causality vs. correlation, and/or other Data driven AI technics such as Random Forest, Evolutionary Algorithms, … Write papers and patents to document this ground-breaking work Deploy Back End technologies (either programming languages or frameworks) incl PHP, ASP, C++, C#, Java, Python, Ruby, REST, MongoDB, PaaS...… Deploy concepts in mathematics/ statistics science and their application on Solution studies: statistical modelling, linear algebra, optimisation, machine learning + [Other specific info - to be filled in by Engineering Manager or Talent Acquisition] YOUR CAREER AT THALES Future opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competences in different areas: Room and attention to personal development Build your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex Solution Choose between a technical expertise or a leadership path Build an international career within a leading Engineering Group

Innovation, passion, ambition : rejoignez Thales et créez le monde de demain, dès aujourd'hui.