Entreprise :
DXC Technology est née en avril 2017 d'une fusion entre CSC (Computer Sciences Corporation), Géant du Conseil et HP Enterprise Services, Leader en Services IT.
Le Groupe DXC enregistre 25 milliards $ de revenus, bénéficie de 60 ans d’expérience et emploie 170.000 collaborateurs dans plus de 70 pays qui servent plus de 6000 clients.
DXC Technology au Maroc, implantée depuis 2007, est une joint-venture entre DXC Technology, leader mondial des services d'intégration & d'infogérance et le Groupe CDG ( Caisse de Dépôt et de Gestion).
Avec 1200 collaborateurs répartis sur 2 sites de production (Technopolis & Casa NearShore), DXC Technology au Maroc a pour vocation d'accompagner les très grands comptes et donneurs d'ordre publics et privés dans leur transformation digitale et d'adresser ainsi l'ensemble des enjeux IT que sont l’Hébergement, l'Infogérance, la Modernisation Applicative, Business Intelligence & Analytics, Workplace & Mobilty Services, Business Process Services, la Cyber Sécurité et le Conseil.
Poste :
- Effective collaboration alongside developers and cross-functional teams. Ability to clearly communicate technical concepts to both technical and non-technical team members.
- Advocate for software engineering good practices (e.g., version control, documentation, test-driven development).
- Strong problem-solving skills to approach complex AI challenges and devise innovative solutions.
- Strong verbal and written communication skills in English.
- Ability to work independently and as part of a team.
Profil recherché :
Qualifications:
- Advanced degree (Ph.D. or MSc) in Computer Science, Statistics, Applied Mathematics, or a related field.
- Minimum of 5 years of experience in a data science role with a proven track record of successful projects.
- Expert proficiency with data science tools and programming languages such as Python, SQL, and Scala.
- Strong experience with machine learning frameworks and libraries such as TensorFlow, Keras, or PyTorch.
- Demonstrated experience with big data technologies such as Hadoop, Spark, and Kafka.
- Excellent analytical, problem-solving, and quantitative skills.
- Ability to interpret and visualize data effectively, conveying insights to both technical and non-technical stakeholders.
- Strong communication and leadership skills, with the ability to lead projects and teams.