Manager, Yield Management - GTM AA Data Scientist
Tasks
- Apply responsible AI and data governance
- Build demand sensing algorithms for S and OP
- Collaborate with product managers software engineers and business analysts
- Conduct code reviews and sprint planning
- Design automated MLOps pipelines for data ingestion and training
- Develop time-series forecasting models
- Ensure data integrity and model validation
- Establish code model versioning and documentation standards
- Integrate agentic AI to automate workflows
- Lead AI/ML model development and deployment
- Manage project timelines and technical milestones
- Monitor and retrain models in production
- Optimize yield using optimization algorithms
- Oversee predictive demand forecasting
Perks/Benefits
- Dental insurance
- Flexible family care days
- Health insurance
- Paid Holidays
- Paid parental leave
- Paid time off
- Prescription Coverage
- Tuition assistance
- Vision insurance
Skills/Tech-stack
AWS | Agentic AI | Azure | Cloud platform | Containerization | Data Quality | Deep learning | Demand forecasting | Docker | Git | Google Cloud | Google Cloud Platform | Kubernetes | LLM orchestration | Language Models | Large Language Models | MLOps | Machine Learning | Model Validation | Model versioning | Predictive Modeling | PyTorch | Python | SQL | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting | Yield Optimization
Education
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