Key Responsibilities Design and implement optimization models, simulations, and machine learning algorithms to improve operational efficiency.Collaborate with cross-functional teams including manufacturing, quality, supply chain, and R&D.Analyze large-scale structured and unstructured datasets to derive actionable insights.Develop and deploy predictive models and decision-support tools.Translate business problems into data science solutions and communicate findings to stakeholders.Stay current with advancements in AI, ML, and operations research methodologies.Experience with tools like Gurobi, CPLEX, or similar solvers.Knowledge of supply chain analytics, quality control, or clinical trial operations.Experience with cloud platforms (AWS, Azure, GCP) and data visualization tools (e.g., Tableau, Power BI).Johnson & Johnson-Specific ExperienceShould have relevant experience with J&J CDL and Big Data StrategyExperience working within J&Js technology ecosystem, including platforms like MedTech, Janssen R&D.Familiarity with J&J data privacy, compliance, and regulatory frameworks.Good Knowledge with J&J Xena framework.Proven ability to navigate cross-functional teams and matrixed environments typical of J&J.
