The Data Scientist will develop data-driven models, analyze complex datasets, design machine learning models, and communicate insights from data analysis.
ELEKS Artificial Intelligence Office is looking for a Data Scientist in Canada.
REQUIREMENTS
- 5+ years of experience in the data science field working with analytical and machine learning solutions
- Strong Python skills and practical experience with common data science and machine learning libraries
- Experience building predictive models and working with structured and unstructured datasets
- Hands-on experience with anomaly detection, statistical analysis, or advanced analytical techniques
- Experience developing optimization models or analytical solutions for decision support
- Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related analytical field, or equivalent practical experience
- Solid understanding of data science methodologies, statistical modelling, and machine learning concepts
- Experience working with large datasets and applying analytical techniques to derive actionable insights
- Ability to communicate analytical findings clearly to both technical and non-technical stakeholders
- At least an Upper-Intermediate level of English
RESPONSIBILITIES
- Develop and improve data-driven models to support forecasting, optimization, and business insights
- Analyze large and complex datasets to identify patterns, trends, risks, and opportunities for improvement
- Design, build, and validate machine learning models for prediction, anomaly detection, and analytical use cases
- Develop and maintain scalable data science workflows and collaborate closely with data engineers, analysts, and other stakeholders
- Translate business problems into analytical approaches and present insights and recommendations
- Support deployment of analytical models and ensure they are reliable, scalable, and maintainable in production environments
- Monitor model performance and continuously refine models based on new data and feedback
- Contribute to knowledge sharing and improvement of data science practices, tools, and methodologies within the team
Top Skills
Data Science Libraries
Machine Learning
Python
Statistical Analysis
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
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- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

