Job Description:

End-to-end Advanced Analytical Model development, validation, monitoring, and reporting of predictive outputs. Translate complex data into actionable business insights through excellent communication and storytelling skills. Deliver solutions using agile methodology and ensure hands-on involvement in every stage. Strong applied knowledge in Python, PySpark, Databricks SQL, and GIT. Familiarity with MLOps principles and practices. Experience in CPG/FMCG domain is highly desirable. Exposure to SPARK environment, Databricks, and Microsoft Azure. Good to have: Experience in Trade Promotion Optimization or Market Mix Models. Develop and validate advanced analytical models, translate data into business insights, and deliver solutions using agile methodology.