Job Description
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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
