Data Scientist I

Groupe Dynamite; Canada; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Bonuses

Retirement plan

Insurance

Employee discount

Private sample sales

Flexible vacation

Job summary

Groupe Dynamite in Montréal is seeking a data engineer to join a self-managed team building our core demand forecasting, recommendation engines, and GenAI solutions. You will architect, deploy, and optimize large-scale data pipelines in a cloud environment.

The role focuses on Python/PySpark, data modeling, ML/MLOps, and collaborating with data scientists and software engineers to turn data into actionable insights for business decisions.

Qualifications

• A degree in computer science, computer engineering, or a related field.
• 2+ years of experience in a similar role.
• 2+ years in Python/Pyspark and other programming languages.
• Hands on experience with RDBMS and NoSQL technologies
• Ability to write efficient queries working with large-scale structured and unstructured datasets.
• Experience in designing and building data pipelines using distributed computing environments.
• Experience in Data Science and Data Analytics including statistical analysis, predictive modeling and model evaluation.
• Experience in ML projects and MLOps.
• Well-versed in modern cloud technologies such as Lambda functions and Glue Jobs in AWS and cloud functions in GCP.
• Must have strong analytical, problem solving skills, attention to detail, critical thinking ability, and creativity.
• Ability to work effectively both independently and within a team.

Responsibilities

• Architect, implement and deploy new data models and large scale data pipelines in production
• 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.
• Write highly optimized software code to advance the Dynamite Group Cloud Solutions capabilities.
• Implement solutions using cloud technology such as AWS, GCP and Snowflake

Skills

Python

PySpark

SQL

NoSQL

Distributed data

AWS

GCP

Data modeling

ML/MLOps

Analytical thinking

Team player

Education

Degree in computer science or related field

Tools

RDBMS

NoSQL databases

Snowflake

AWS Lambda

AWS Glue

ETL pipelines

Job description

Overview

Groupe Dynamite Inc. (GDI) is a Montréal-based, public company of integrated omni-channel brands, designing and distributing accessible, trend-forward fashion for women since 1975.

Our mission of "Empowering YOU to be YOU, one outfit at a time" is brought to life through the GARAGE and DYNAMITE banners and represents the consumer‑centric core of GDI's long‑standing success as a leading retailer in North America.

Today, GDI operates nearly 300 stores across Canada and the United States, as well as shoppable brand experiences at Garageclothing.com and Dynamiteclothing.com.

Job Summary

“We are a research and development startup within a big company." This is how we identify ourselves. We thrive on hacking, brainstorming, and engaging in constant tech discussions. We come from diverse technical backgrounds and cultures, and this diversity makes us a very strong team. This dynamic atmosphere propels us through our daily adventures. Our core values: Benevolence, Putting Humans First, and Passion.

In this role you will be part of a self managed team responsible for building and driving forward our core demand forecasting, recommendation engines and GenAI solutions.

Main Responsibilities

• Architect, implement and deploy new data models and large scale data pipelines in production
• 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.
• Write highly optimized software code to advance the Dynamite Group Cloud Solutions capabilities.
• Implement solutions using cloud technology such as AWS, GCP and Snowflake

Qualifications

• A degree in computer science, computer engineering, or a related field.
• 2+ years of experience in a similar role.
• 2+ years in Python/Pyspark and other programming languages.
• Hands on experience with RDBMS and NoSQL technologies
• Ability to write efficient queries working with large-scale structured and unstructured datasets.
• Experience in designing and building data pipelines using distributed computing environments.
• Experience in Data Science and Data Analytics including statistical analysis, predictive modeling and model evaluation.
• Experience in ML projects and MLOps.
• Well-versed in modern cloud technologies such as Lambda functions and Glue Jobs in AWS and cloud functions in GCP.
• Must have strong analytical, problem solving skills, attention to detail, critical thinking ability, and creativity.
• Ability to work effectively both independently and within a team.

We are excited about you because…

• You are an experienced cloud developer with a passion for data science and data modeling.
• You possess knowledge about data modeling, access and storage.
• You excel at writing clean code that evolves well over time.
• You are excited to own a project completely from start to finish.
• You are self-driven and constantly striving to improve your team.
• You are an advocate of agile/lean delivery methodologies.

At GDI, you will be part of a growing organization that understands the importance of investing in people and offers you:

• A comprehensive compensation package that includes performance-driven bonuses;
• A group retirement savings program with employer matching;
• Flexible group insurance with personalized coverage that meets your needs;
• An employee discount at Garage and Dynamite;
• Exclusive private sample sales;
• A flexible vacation policy;
• And more!

GDI has been repeatedly voted one of Montréal’s Top Employers and one of Canada’s Top Employers for Young People.

Our promise…

No day will be like the last—we aim to be better today than we were yesterday. We are committed to employment equity.

Candidates that are retained will be called for an interview.