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ELEKS

Data Scientist

Posted 8 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Senior level
Remote
Hiring Remotely in Canada
Senior level
The Data Scientist will develop data-driven models, analyze complex datasets, design machine learning models, and communicate insights from data analysis.
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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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