**Job Description Summary** ISC Data Analytics ML Engineer will play a key role in the development and implementation of machine learning models within our Integrated Supply Chain (ISC) Data analytics teams. This position requires a deep understanding of machine learning techniques, data analytics, and supply chain processes. The ML Engineer will collaborate with cross-functional teams to derive insights from complex datasets, develop predictive models, and help optimize various supply chain functions. This role demands strong technical expertise, a passion for problem-solving, and the ability to communicate complex concepts to non-technical stakeholders. **Job Description** Model Development and Deployment: Design, develop, and deploy machine learning models to address supply chain challenges • Data Analysis: Perform extensive data analysis to identify patterns, trends, and insights that can drive strategic decisions within the supply chain. • Collaboration: Work closely with Solution Architect, Data scientists, Data engineers, and supply chain SME to ensure the seamless integration of ML models into existing systems and processes. • Optimization: Develop algorithms to optimize supply chain performance, reduce costs, and improve efficiency. • Reporting: Create comprehensive documentation and reports to communicate findings and model performance to stakeholders. • Continuous Improvement: Stay updated with the latest advancements in machine learning and supply chain analytics and integrate new techniques into ongoing projects. • MLOps: Implement MLOps practices to streamline the deployment and monitoring of ML models, ensuring robustness and reliability. • Training and Mentoring: Provide guidance and mentorship to junior team members, promoting a culture of learning and innovation within the team. Required Skills Optional Skills . **Primary Work Location** SGP The Strategy **Additional Locations** **Work Shift** Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.