Senior Data Scientist

Role Description: Retail / CPG domain experience is a must have. Quick commerce (optional) Functional Knowledge Required: Category / Product Analytics (Must have): Product Assortment Analysis, identifying trends and patterns in category performance, new product launches Sales Data Analysis (Must have): Analysing sales trends, forecasting performance and identifying key sales drivers Customer Analytics (Must have): Using Loyalty and Customer data for direct marketing campaigns and campaign measurement Geo-Spatial Analytics (Good to have): GIS tools (ArcGIS or QGIS), Location-based analysis (spatial matching, trade area analysis), Spatial data visualization. Should have strong story telling skills: Ability to explain complex data to non-technical / business teams Skills: Proven experience as a Data Scientist or similar role. Strong knowledge of Data Analysis, Statistics, Machine Learning, Model Evaluation Techniques and Model Interpretation. Proficiency in data science tools and programming languages such as Python , R, Azure Databricks, SQL , etc. Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Power BI, Spotfire or other visualization tools (optional) Years of experience: 5 to 7 years relevant experience in Analytics