Data Scientist - Rabat

Entreprise :

Joining Cnexia is choosing to be part of an ambitious project that values Innovation, promotes Continuous Learning and enables all tech champions to fulfill their creative dreams.

At Cnexia, we do more than support the clients of our world-class network and services. We develop innovative solutions and create original multiplatform media content. In fact, we’re revolutionizing how Canadians communicate on the web, interact with Mobile Apps or benefit from an AI-enhanced experience.

Proud of our status as a fully owned Moroccan subsidiary of the largest Canadian Telecom company, we have been ceaselessly growing our team since 2021. With over 1100 employees, mainly based in Fez, we have expanded in the northern region of the kingdom with our Brand-new state of the art site in Technopolis Rabat.

If you are ready for this challenge, we invite you to join a community that values bold ideas and professional growth all in an engaging multi cultural world-class environment.

Culture de l'entreprise :

Cnexia Tech évolue dans une culture résolument orientée vers la performance et la compétition, où l’ambition, le goût du challenge et l’atteinte d’objectifs chiffrés constituent des moteurs clés. Cette dynamique est complétée par une dimension de coopération, favorisant la confiance, la solidarité et un management de proximité attentif à l’accompagnement des équipes. Elle intègre également une composante d’innovation, encourageant l’initiative, l’adaptabilité et l’expérimentation dans un environnement technologique en constante évolution. Enfin, une culture d’organisation structurée soutient l’ensemble par la rigueur des processus, la fiabilité et l’efficacité opérationnelle.

Poste :

• Design and train predictive models, including deep learning models, to optimize key business outcomes and address complex challenges.
• Engineer impactful features and build robust, automated data pipelines to support model training and inference.
• Rigorously analyze model performance and systematically fine-tune models to maximize business metrics.
• Build and deploy scalable, low-latency, production-grade applications to serve models in a production cloud environment.
• Use a production-first mindset to consult on project feasibility and help shape technical strategy, balancing performance, time, and cost.
• Design and validate new processes, products, and advanced ML techniques through experimentation and testing.
• Analyze large structured and unstructured datasets to identify insights and propose strategies to address complex technical challenges.
• Communicate complex findings and strategic recommendations to technical and non-technical audiences concisely and effectively.
• Proactively engage with team members to accomplish individual and groups goals, providing technical mentorship to other data scientists.
• Continuously seek new opportunities to develop and apply new skills towards the improvement of data science processes and technical methodologies.
• Establish comprehensive monitoring for model performance and data drift, using insights to drive continuous improvement.
• Document complex model architectures, deployment processes, and data pipelines to ensure maintainability. 

Profil recherché :

• University or college degree in engineering, computer sciences, physics, mathematics or relevant experience in an equivalent domain
• Excellent communication skills in English
• Minimum of 3+ years’ as a Business Data Scientist or similar role
• End-to-end Machine Learning Development - experience with training, evaluating, iterating, and deploying ML and DL models into production environments
• Model Evaluation & Performance Tuning - ability to evaluate models using best practice offline methods and online A/B testing to improve business KPIs
• Model Serving Application Development - skill to build scalable, low-latency Python applications to serve models and additional optimizations for real-time inference
• Applied Machine Learning / Deep Learning - in-depth knowledge of ML / DL algorithms and frameworks (scikit-learn, PyTorch, etc.) to make applied modeling decisions and articulate trade-offs
• Feature Engineering - expertise in designing impactful features and integrating into processes for model serving, using advanced SQL for data wrangling and Pandas for preprocessing

Adresse de notre siège :

Traits de personnalité souhaités :

Recherche de nouveauté Besoin de réflexion Besoin d'autonomie Implication au travail Ambition