Eleks

Data Scientist

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Job Description



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

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