Machine Learning & External Sensing Engineer
Indexed description
Our Team, Your Impact
As a Machine Learning & External Sensing Engineer, you will develop Machine Learning, AI-agent, and external sensing capabilities focused on predictive forecasting, intelligent automation, and integration of external business signals into Supply Chain decision-making processes.
How You’ll Spend Your Day
- Develop Machine Learning models integrating external data sources
- Build forecasting enhancement capabilities using internal and external signals
- Integrate external indicators into planning and decision-support processes
- Develop AI agents supporting analytics, simulations, and operational monitoring
- Support automation of master data integrity and planning consistency checks
- Develop anomaly-detection and predictive alerting capabilities leveraging external signals
- Work with IT to industrialize data pipelines and AI services
- Collaborate with Commercial, Portfolio, Market Intelligence, and Analytics teams to operationalize external sensing capabilities
- 4+ years in Machine Learning / Data Science
- Strong Python experience
- Experience with time-series forecasting
- Experience integrating structured and unstructured external data sources
- Knowledge of Supply Chain or Demand Planning processes
- Experience with cloud-based analytics or AI environments
- Experience with Pharma datasets
- Exposure to AI agents / LLM-based automation
- Experience working with SAP planning ecosystems
- Experience with external sensing, signal detection, or predictive analytics environments
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Teva’s Equal Employment Opportunity Commitment
Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.
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