Manager, Data Science

COMPASS GROUP CANADA; Toronto; On-site; CAD 80,000 - 130,000; Full time

Job summary

An innovative firm is seeking a skilled Manager of Data Science to lead the development of advanced AI/ML solutions. In this dynamic role, you'll design and implement cutting-edge machine learning pipelines, collaborate with diverse teams to drive data-driven solutions, and provide strategic insights for business growth. You'll also mentor a team of data scientists, ensuring a culture of knowledge sharing and continuous improvement. If you have a passion for technology and a proven track record in machine learning, this opportunity offers a chance to make a significant impact in the foodservice industry while working with the latest technologies in a supportive environment.

Qualifications

• 5+ years in ML and AI pipeline development.
• Master's or Ph.D. in a STEM field is required.

Responsibilities

• Lead design and implementation of ML pipelines for analytics.
• Mentor data scientists and foster collaborative learning.

Skills

Machine Learning

AI Pipelines

Data Analysis

Communication Skills

SQL

Python

Clustering Algorithms

Recommender Systems

Education

Master's in STEM

Ph.D. in STEM

Tools

AWS

GCP

Airflow

Sagemaker

Vertex AI

TensorFlow

PyTorch

scikit-learn

Job description

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. Distilr at Compass Digital is seeking an experienced and highly skilled Manager, Data Science 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 Manager, Data Science, 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 Manager, Data Science? 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.