Search the 3 jobs at Tiger Analytics

As a Principal Data Scientist, you will apply advanced data science techniques to solve marketing analytics problems for CPG clients, focusing on Market Mix Modeling and ROI analytics. You'll work closely with client teams to deliver actionable insights, develop models, and translate business questions into data-driven solutions. Strong communication and analytical skills are essential to lead projects and interact with stakeholders.

The Data Engineer will design, develop, and maintain scalable data pipelines, optimize data processing solutions, and collaborate with data scientists to operationalize machine learning models. Responsibilities include ensuring data quality and continuously improving workflows for performance and scalability.

The Manager/Sr. Manager of Supply Chain Analytics will work on applying data science to solve business problems, lead teams of analysts, and create data-driven solutions. Responsibilities include data extraction, analysis, project management, and engaging with senior stakeholders to deliver insights.