Descripción del trabajo
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Experteer Overview In this role you will build ML models and AI agents that incorporate external signals to improve Supply Chain forecasting and decision-making. You will partner with Commercial, Portfolio, Market Intelligence, and Analytics teams to operationalize external sensing capabilities. You drive data pipelines and anomaly detection to support predictive analytics at scale, empowering smarter planning and automation across the business. This is a collaborative, growth-focused role at Teva, blending cutting-edge analytics with real-world pharmaceutical supply chain applications.
Compensaciones / Beneficios
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- Develop ML models that integrate external data sources
- Enhance forecasting using internal and external signals
- Incorporate external indicators into planning and decision-support processes
- Create AI agents to support analytics, simulations, and monitoring
- Automate master data integrity and planning consistency checks
- Build anomaly-detection and predictive alerting using external signals
- Industrialize data pipelines and AI services with IT
- Collaborate with Commercial, Portfolio, Market Intelligence, and Analytics teams to operationalize capabilities
Responsabilidades
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- 4+ years in Machine Learning / Data Science
- Strong Python experience
- Experience with time-series forecasting
- Experience integrating xqbhyrx structured and unstructured external data sources
- Knowledge of Supply Chain or Demand Planning processes
- Experience with cloud-based analytics or AI environments