- Build and test data science solutions for connected enterprise systems - Collaborate with data engineering teams to move models into production - Support IoT and analytics architecture with ML-based solutions - Analyze system performance and improve efficiency using data-driven approaches - Develop and execute test scenarios for ML models and pipelines - Support citizen data scientist communities within business units - Use containerization technologies for scalable ML deployment - Work on cross-functional IoT and analytics projects for internal and external clients - Ensure compliance with coding standards, governance, and enterprise regulations - Contribute to Agile development and iterative model improvement - Translate business problems into analytical and ML-based solutions