Groupe Dynamite is a global fashion retailer with two brands at the heart of its success, Garage and Dynamite. We operate close to 400 stores in Canada and worldwide, and employ over 6,000 people.
We have our roots planted firmly in the terrain of fashion’s retail landscape.
As Canadian leaders in the international retail landscape, the Garage and Dynamite banners continue to stand out in an increasingly saturated market.
Our passionate team continues to lead the expansion of the business in new markets, including E-commerce, while always leveraging our shared values.
We are proud to hire and retain inspiring leaders, motivated by their desire to achieve great things and recognized for their entrepreneurial spirit.
ABOUT THE ROLE
In this role you will be reporting to the Director, Enterprise and Cloud Solutions and be part of a self managed team responsible for building and driving forward our core recommendation engine.
Take ideas from initial prototypes to live production systems.
Design, develop and evaluate innovative data science and ML based products and solutions to solve retail science problems.
Work with data scientists and software engineers to address business challenges by harnessing structured, semi-structured, and unstructured data in a distributed and cloud processing environment.
Utilize advanced statistical techniques to create high performing predictive recommendation models.
Write highly optimized software code to advance the Dynamite Group Machine learning capabilities.
WE’RE EXCITED ABOUT YOU BECAUSE
You have a well-rounded skill set in machine learning & you can build and deploy software ML-based solution in a production cloud environment.
You want to help us build our core recommendation engine.
You know how to write clean code that evolves well over time.
You are excited to own a project completely from start to finish.
You are able to identify new opportunities to improve ML models.
Graduate-level qualification in a relevant technical field such as Computer Science, Engineering, Applied Mathematics / Statistics or Operations Research.
3 years of practical experience as a data scientist or in a similar role.
Demonstrated experience in applying statistics and machine learning techniques to business problems.
Excellent understanding of machine learning techniques applied to recommendation systems.
Experience with common data science toolkits, such as AWS ML SageMaker and ML Python libraries.
Must have strong analytical, problem-solving skills, attention to detail, critical thinking ability, and creativity.
GREAT TO HAVE :
You have implemented and deployed machine learning pipelines in a production environment.
Ability to work on multiple tasks / projects at one time.
Ability to work in a fast-paced delivery context, we are a product team before a data science team.
Groupe Dynamite is committed to employment equity . Only those candidates who have been retained will be contacted for an interview.