Principal Data Scientist – Supply Chain Operations
Nashville, TN, United States
USD 99K-194K (estimate) Senior-level Full Time
Tasks
- Build predictive models for scenario planning and capacity management
- Build reusable automation frameworks and data products
- Build scalable datasets for planning and inventory management
- Create intelligent alerting mechanisms
- Design and develop data automation solutions
- Design and develop data pipelines and architectures
- Develop AI and machine learning models for forecasting and optimization
- Develop dashboards KPI frameworks and self service analytics
- Develop efficient scalable code and tests
- Document technical designs data models and automation solutions
- Ensure data quality governance reliability and accessibility
- Evaluate emerging AI and automation technologies
- Implement ETL pipelines
- Optimize prompts
- Train deploy and monitor machine learning models
- Translate operational data into actionable insights
Perks/Benefits
- N/A
Skills/Tech-stack
Analytics Cloud | Cloud Applications | Cloud Computing | Dashboards | Data Governance | Data Modeling | Data Privacy | Data Quality | Data Security | Distributed Systems | ELT | ETL | Forecasting | Fusion Cloud Applications | Generative AI | Inventory Management | Language Processing | Logistics | Machine Learning | Manufacturing Operations | Natural Language | Natural Language Processing | Oracle Analytics | Oracle Analytics Cloud | Oracle ERP | Oracle Fusion | Oracle Fusion Cloud | Oracle Fusion Cloud Applications | Oracle Planning | Oracle Procurement | Oracle SCM | Orchestration | Power BI | Predictive Analytics | Python | SQL | Supply Chain | Supply chain planning | Tableau
Education
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