Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field At least 5 years of hands-on data science experience Proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Expert in statistical analysis and machine learning Proficient in SQL and database operations Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) Good understanding of MLOps practices and model deployment workflows Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain) Advanced (C1) or above English level