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Job Description
Are you passionate about Artificial Intelligence? Do you thrive in a multilingual, dynamic, and friendly environment that fosters personal and professional growth? We would love to meet you!
As a Lead Data Scientist, you will ensure all AI initiatives align with enterprise architecture standards, business strategy, and regulatory requirements. Operating within a SAFe Agile framework, you will provide deep architectural expertise, facilitate platform delivery, and support business value realization.
What does your typical day look like?
- Lead the end-to-end design and validation of AI solutions—whether developed in-house or by third-party vendors—ensuring alignment with enterprise architecture and business needs;
- Develop and operationalize an Agentic Framework for AI use cases to support modular, composable, and autonomous workflows;
- Translate business, functional, and non-functional requirements into architectural blueprints and actionable implementation plans;
- Provide technical mentorship and architectural guidance to data scientists and engineers working on AI initiatives;
- Encourage architectural thinking, best practices, and code quality across cross-functional AI efforts;
- Define integration patterns, orchestration workflows, and MLOps practices that support seamless deployment of AI workloads across cloud-native and containerized environments;
- Support Agile Release Trains and development teams by converting architectural strategy into features, enablers, and spikes.
What skills and training do you need?
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field;
- 7–10 years of experience in AI-focused technical roles, including architecture, machine learning solution design, and deployment at scale;
- Proven experience designing and implementing AI/ML solutions in enterprise environments, emphasizing modular, reusable architectures;
- Hands-on experience with modern AI platforms and orchestration tools, including Dataiku and Snowflake;
- Familiarity with containerized environments, model lifecycle management, and MLOps best practices;
- Experience managing and guiding a team of data scientists;
- Strong background in integrating and evaluating third-party AI products and services;
- Experience with Agile / SAFe delivery in fast-paced, cross-functional teams;
- Relevant certifications (e.g., Dataiku DSS, Snowflake SnowPro, Azure AI Engineer) are assets;
- Bilingual in English (required) and French (asset) for global collaboration.
When You Apply
If you need assistance or accommodations during our recruitment process, please notify Human Resources to review your needs.
We offer you
- More than just a position; we offer a professional future with competitive compensation, including base salary, performance bonus, and benefits;
- Contact your local HR department for benefits information specific to your site.
For more about our company and to get a taste of the Global Excel life, visit our Facebook page and website.
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- Engineering and Information Technology
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