Job Summary
Data Science work includes: - Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets - Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.) - Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions - Applying and/or implementing Machine Learning (ML) or other Artificial Intelligence (AI) techniques to solve business problems and/or derive actionable business insights - At higher career levels, may conduct scientific research projects with the goal of breaking new ground in data analytics
Job Responsibilities
Leadership Competencies
- Collaborating
- Continuous Improvement
- Business Awareness
- Planning and Organizing
- Quality Orientation
- Analysis
- Applied Learning
- Building Customer Loyalty
Technical Competencies
- Business Analysis and Decision Support
- Consulting, Transformation and Enablement
- Database Administration and Performance
- Machine Learning Engineering and MLOps
- Cloud Platforms and Infrastructure-as-Code
- Business Intelligence and Data Products
- Performance Monitoring and Site Reliability
- Data Governance, Quality and Stewardship
- Advanced Analytics and Data Science
- Research, Innovation and Emerging Tech
- Testing, QA and Data Validation
- Security, Privacy and Compliance (Data)
- Data Engineering and Integration Pipelines
Behavioral Expectations
Personality Traits
Internal Stakeholders
External Stakeholders 
