Responsible for extracting insights from large, complex datasets to solve challenging business problems using advanced data science techniques. This includes data preparation, exploratory analysis, predictive modeling, forecasting, and visualization to drive better decision-making and business outcomes. The role focuses on developing scalable data science solutions that leverage statistical modeling, machine learning, and time-series forecasting to improve demand planning, supply chain performance, and operational efficiency. The team builds and deploys data-driven solutions across a wide range of applications, utilizing modern data platforms, cloud technologies, and machine learning frameworks. This position operates with a high level of autonomy while contributing to cross-functional initiatives and leading data science projects end-to-end.
The Supply Chain Data Scientist plays a key role in developing forecasting and predictive analytics solutions to support Comcast’s Demand & Supply Planning functions. This role emphasizes time-series forecasting, demand sensing, and machine learning-driven insights to improve planning accuracy and responsiveness. You will partner with a U.S.-based Data Science team to enhance forecasting capabilities, develop scalable models, and drive continuous improvement in supply chain analytics.