At Zimmer Biomet, we believe in pushing the boundaries of innovation and driving our mission forward. As a global medical technology leader for nearly 100 years, a patient's mobility is enhanced by a Zimmer Biomet product or technology every 8 seconds. As a Zimmer Biomet team member, you will share in our commitment to providing mobility and renewed life to people around the world. We focus on development opportunities, employee resource groups (ERGs), flexible working environments, competitive total rewards, wellness incentives, and a culture of recognition and performance awards. We are committed to creating an inclusive environment where every team member feels respected, empowered, and recognized. What You Can Expect The Global Supply Chain Reporting and Analytics Senior Analyst will design, develop, and deploy advanced machine learning models and data-driven solutions to enhance business reporting, generate insights, and support strategic decisions. This role combines data engineering, analytics, and software development, requiring technical expertise and collaboration skills. How You'll Create Impact Design and implement scalable machine learning models to solve complex problems like predictive analytics, anomaly detection, and automated reporting. Develop and optimize data pipelines for large, complex datasets used in analytics and ML model training. Build, test, and deploy models ensuring reliability and scalability in production environments. Collaborate with data scientists, analysts, engineers, and stakeholders to align ML solutions with business needs. Create dashboards, reports, and visualization tools to communicate insights effectively. Monitor, retrain, and maintain deployed models, addressing data drift and performance issues. Stay updated with advancements in ML, analytics, and reporting technologies, applying innovative approaches to add value. This list is not exhaustive and may not include all essential functions under the Americans with Disabilities Act. What Makes You Stand Out Proficiency in ML frameworks (TensorFlow, PyTorch, scikit-learn), programming (Python, R), and data tools (Spark, SQL). Strong skills in statistics, data analysis, and feature engineering. Experience with ETL processes, data pipelines, and cloud data architectures. Ability to translate data and model outputs into clear business insights and reports. Excellent problem-solving, communication, and teamwork skills. Ability to communicate effectively across organizational levels. Fluent in English reading, writing, and speaking. Education and Experience Bachelor's or Master's in Computer Science, Engineering, Statistics, or related field. Minimum 3 years of supply chain experience. Experience with ERP systems is preferred. Ability to manage complex ETL processes. Travel Expectations Up to 10% EOE / M / F / Vet / Disability #J-18808-Ljbffr