Job description2-3 years of experience in data science or related analytics roleProficiency in Python with hands-on experience using Jupyter notebooks for data analysis and model developmentStrong working knowledge of core Python data science libraries including pandas, scikit-learn, and NumPySolid understanding of the mathematical and statistical foundations behind decision trees, neural networks, hypothesis testing, statistical distributions, and regression analysisExperience with exploratory data analysis (EDA) techniques and data visualization for pattern discoveryHands-on experience with hyperparameter tuning and model optimization techniquesAbility to construct meaningful labels from business data and raw datasetsExperience building and validating predictive models, preferably propensity or behavioral modelsStrong analytical mindset with attention to detail