Leads end-to-end data science initiatives involving machine learning, statistical modeling, causal inference, sequence analysis, and scalable insight generation. Builds and deploys production-ready solutions using Python, SQL, Spark, Databricks, and cloud platforms. Provides technical leadership and mentorship, establishes model validation and governance practices, manages cross-functional initiatives, and communicates analytical findings to technical and business stakeholders. The role supports agricultural and digital product applications.