Data Scientist I: Cloud‑Driven Forecasting & GenAI

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

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.