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.