Amnet Digital - Data Science Manager - Retail

Required Qualifications: - Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field, with experience in Retail domain projects as a mandate. - 11-18 years of experience delivering ML models solving real-world business problems. - Strong expertise in Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost, Statsmodels. - Deep understanding of machine learning theory, feature engineering, sampling strategies, bias/variance trade-offs, and model diagnostics. - Strong experience with analytical and statistical techniques: regression, hypothesis testing, ANOVA, time-series, clustering, survival models, probability distributions. - Hands-on experience working with cloud platforms (AWS, GCP, or Azure). - Solid understanding of data pipelines, data quality checks, and best practices for production-grade model development. - Familiarity with ML engineering / MLOps workflows and tools (Airflow, MLflow, Docker, Kubernetes, CI/CD pipelines). - Proficiency in SQL and experience with large-scale structured and unstructured datasets. - Excellent communication skills and the ability to translate technical output into business impact. .