Lead Data Scientist role in the CPG industry focused on Market Mix Modeling and ROI analytics. Responsibilities include data analytics, model development, business analysis, and client interaction. Requires 8+ years of experience, background in Statistics or Mathematics, and proficiency in Python and Databricks.

Design, develop, and maintain scalable data pipelines using Scala, DBT, and SQL. Implement and optimize distributed data processing solutions using MPP databases and technologies. Build and deploy machine learning models using distributed processing frameworks such as Spark, Glue, and Iceberg. Collaborate with data scientists and analysts to operationalize ML models and integrate them into production systems. Ensure data quality, reliability, and integrity throughout the data lifecycle. Continuously optimize and improve data processing and ML workflows for performance and scalability.

Looking for a Manager/Senior Manager in Supply Chain Analytics with expertise in data science and supply chain management. Responsible for applying data science techniques to solve business problems and lead teams to develop data-driven solutions.