Principal Data Scientist – Supply Chain Operations
Tasks
- Build data pipelines and architectures
- Build predictive models for planning
- Build reusable automation frameworks
- Create KPI frameworks and control tower capabilities
- Design data automation solutions
- Develop AI and machine learning models
- Develop dashboards and self-service analytics
- Document technical designs and data models
- Drive continuous improvement and reduce technical debt
- Ensure data quality and governance
- Evaluate emerging AI and automation technologies
- Implement intelligent alerting
- Integrate data across enterprise systems
- Lead technical initiatives end to end
Perks/Benefits
- 401k match
- Commuter benefits
- Dental insurance
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Vision insurance
Skills/Tech-stack
Analytics Cloud | Business Intelligence | Cloud Applications | Cloud Computing | Cloud Planning | Cloud SCM | Cloud procurement | Dashboarding | Data Governance | Data Modeling | Data Quality | Data Visualization | Data pipeline | Data pipeline orchestration | ELT | ETL | Forecasting | Fusion Cloud Applications | Inventory Management | Logistics | Machine Learning | Manufacturing Operations | Operational analytics | Oracle Analytics | Oracle Analytics Cloud | Oracle Fusion | Oracle Fusion Cloud | Oracle Fusion Cloud Applications | Oracle Fusion Cloud Planning | Oracle Fusion Cloud Procurement | Oracle Fusion Cloud SCM | Pipeline Orchestration | Power BI | Predictive Analytics | Python | SQL | Supply Chain | Supply chain planning | Tableau
Education
N/A
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