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Data Scientist at Bombardier

Dorval, QC, Canada -

Full Time

Start Date

Immediate

Expiry Date

11 Nov, 25

Salary

0.0

Posted On

12 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Computer Science, Ethnicity, Sql, Data Processing, Model Development, Spark, Data Science, Machine Learning

Industry

Information Technology/IT

Description

How To Apply:

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Responsibilities

Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, or a related field. A PhD is a strong asset.
You have 5+ years of professional experience in data science and machine learning, with a focus on model development and deployment.
Hands-on experience with Azure Databricks, including its model registry and data catalog.
Experience developing machine learning models using Python and libraries such as TensorFlow, PyTorch, or scikit-learn.
You are autonomous, innovative and dynamic.
Proficiency in Python, SQL, and Spark for data processing and model development.
Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques.
Familiarity with Azure ML and other Azure ecosystem tools for model deployment and monitoring.
Experience with CI/CD workflows for AI/ML engineering is an asset.
Passion for staying ahead of industry trends, bringing fresh ideas, strong analytical problem-solving skills with attention to detail.
Interest in exploring and incorporating the latest advancements in AI/ML into projects.
Please note: You don’t need all the skills, knowledge, and experience listed for this position! We’re not looking for the perfect candidate, we’re looking for great talent and resourcefulness.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
Job Data Scientist
Primary Location Administrative Centre (CA)
Organization Aerospace Canada
Shift Day job
Employee Status Regular
Requisition 7989 Data Scientis