Bachelor’s degree or higher in a quantitative field (Computer Science, Statistics, Mathematics). Minimum of 5 years of professional experience in data science. Hands-on experience in statistical analysis, predictive modeling, and machine learning. Proficiency in Python, R, or similar tools. Experience with libraries for data manipulation (Pandas, NumPy) and machine learning (scikit-learn, TensorFlow, PyTorch). Strong understanding of statistical concepts (regression, classification, clustering, time series analysis). Experience with data visualization tools (Tableau, Power BI). Excellent analytical, problem-solving, and critical thinking skills. Proven ability to work independently and collaboratively in a global, cross-functional environment.