5+ years of experience in data science 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
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
Requirements:
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
