Data Scientist developing data-driven models at ELEKS Artificial Intelligence Office. Analyzing data and building machine learning models to support insights and forecasting.
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
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
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