Informations principales

Data Scientist

Poste: Non spécifié

Début: Dès que possible

End: Non spécifié

Lieu: Toronto, Canada

Type de collaboration: Projet seulement

Taux horaire: Non spécifié

Dernière mise à jour: 26 sept. 2024

Description et exigences de la tâche

Since its inception, the Group has based its development on a strong culture of entrepreneurship and innovation, and on the support and upskilling of its 7800 employees who are committed every day to promoting the complementarity between digital technologies and complex system engineering.


In Canada, the firm specializes in IT consulting services and engineering. Our teams successfully drive our clients' development strategies. Around common values, we have gained their trust and address their business challenges by putting their needs at the center of our actions and priorities.


This ecosystem of expertise enables the company to adapt quickly to evolving technologies, and all employees participate collaboratively in their development.


Are you ready to take on a new challenge, give your career a boost, and participate in innovative and stimulating projects?


Join a rapidly growing Group in Canada and worldwide that achieved a turnover of €600 million in 2023.






Your mission would be:


• Work autonomously on high profile, complex and/or high-risk technology initiatives with significant impact to the organization.
• Expertise in Analyzing best scenarios for security alerts in SIEM Platform.
• Manage relationships with other technology/business/corporate/control functions.
• Identify valuable data sources and automate collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.




Your profile:


• Proven experience as a Data Scientist or Data Analyst.
• Experience in data mining.
• Understanding of machine-learning and operations research.
• Knowledge of R, SQL, and Python.
• Experience using business intelligence tools (e.g. Tableau, Power BI) and data frameworks (e.g. Hadoop).
• Excellent communication and presentation skills.




Let's meet!
Do you like our common project?
Apply here and join our team!




Our Advantages
• A tailored CARE policy deployed by our HR teams for our employees.
• Our Diversity Charter.
• Activities among colleagues such as Teambuilding or Happy Hours.

Catégorie

Data analysis