You might not know our name, but you know where we are. That’s because Compass Group Canada is part of a global foodservice and support services company that’s the 6th largest employer in the world, with 625,000 employees.
You’ll find us in schools, colleges, hospitals, office buildings, senior living communities, tourist attractions, sports venues, remote camps and military installations and more. We’re in all major cities, at remote work sites and everywhere in between – doing business in Canada and 50+ other countries where you can learn and grow. Join us now and point your career forward!
Why work with Compass Digital? We are a member of Compass Group North America the leading foodservice and support services company. We create remarkable customer experiences through the innovative design and development of technology products and services. Compass Digital began as an innovation startup and the team has since rapidly grown and now supports technology and innovation across all of North America. Compass digital is comprised of user experience designers, developers, data scientists, project managers, business analysts, marketers and technology implementation managers, all of whom look at the world from a human perspective to rethink what's possible in the areas of technology innovation and consumer engagement within the foodservice and hospitality industries. Join us.
Job Summary
At Compass Digital, our mission is to create extraordinary experiences at the intersection of hospitality and technology. Compass Digital is seeking an experienced and highly skilled Data Scientist to join our team and lead the development of cutting-edge AI/ML solutions to help our partners make smarter business decisions. The successful candidate will:
Now, if you were to come onboard as our Data Scientist, we’d ask you to do the following for us:
- Lead the design and implementation of end-to-end ML pipelines for the development of a state-of-the-art supplier analytics platform
- Collaborate with cross-functional teams to identify business needs and develop innovative data-driven solutions that drive measurable impact.
- Conduct comprehensive analysis to extract actionable insights and provide strategic recommendations for business optimization and growth.
- Design and implement robust data infrastructure, following governance practices around data integrity and security.
- Mentor and provide guidance to data scientists, fostering a collaborative environment for knowledge sharing and skill development.
- Stay updated with industry trends, emerging technologies, and best practices in machine learning, AI, LLMs, and data science.
Think you have what it takes to be our Data Scientist? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role:
- 5 years of hands-on experience in building and deploying machine learning and AI pipelines in a commercial environment.
- Experience with cloud-based data platforms (AWS, GCP preferred) and related services (Airflow, Sagemaker, Vertex AI).
- Proficiency with Python libraries like TensorFlow, PyTorch, scikit-learn.
- Advanced to expert knowledge of SQL.
- Proven track record of delivering successful data-driven solutions that have driven tangible business outcomes.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
- Experience with clustering algorithms and recommender systems.
- Knowledge of software engineering practices and version control systems.
- Master's or Ph.D. in STEM or related field.
- Experience leveraging LLMs to build or improve data models and pipelines.
Compass Group Canada is committed to nurturing a diverse workforce representative of the communities within which we operate. We encourage and are pleased to consider all qualified candidates, without regard to race, colour, citizenship, religion, sex, marital / family status, sexual orientation, gender identity, aboriginal status, age, disability or persons who may require an accommodation, to apply.
For accommodation requests during the hiring process, please contact [email protected] for further information.
