• Lead the end-to-end development of machine learning and statistical models for traffic prediction, route optimization, congestion analysis, and mobility analytics • Design and implement scalable data pipelines and workflows for processing large-scale geospatial and temporal datasets • Analyze traffic patterns using geospatial data and sensor feeds (GPS, IoT, traffic cameras, etc.) to derive actionable insights • Collaborate with engineering teams to integrate machine learning models into production systems • Conduct exploratory data analysis (EDA), feature engineering, and model evaluation to ensure robust and accurate predictions • Stay current with the latest advancements in machine learning, deep learning, geospatial analytics, and big data technologies • Mentor junior data scientists and provide guidance on best practices for model development and data analysis • Present findings and insights to cross-functional teams, stakeholders, and clients in a clear and actionable manner.