Principal Data Scientist – Supply Chain Operations
About The Position
Uses advanced experimental design, statistics, technologies, and (e.g., machine learning, natural language processing) to discover and understand data patterns and trends to generate actionable insights and solutions for client services, product enhancement, and business impact. Engages in training, deploying, and monitoring machine learning models, and in architecting solutions for the entire model lifecycle. Optimizes prompts. Summarizes and interprets data and analysis insights and findings to make recommendations to stakeholders. Implements Extract, Transform, Load (ETL) for data pipelines while ensuring data security and privacy. Develops efficient and scalable code and tests. Maintains familiarity with current developments in the data science field and integrates knowledge into model development. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
Requirements
- advanced experimental design
- statistics
- machine learning
- natural language processing
- architecting solutions for the entire model lifecycle
- Optimizes prompts
- Implements Extract, Transform, Load (ETL) for data pipelines
- ensuring data security and privacy
- Develops efficient and scalable code and tests
- Maintains familiarity with current developments in the data science field
Responsibilities
- Uses advanced experimental design, statistics, technologies, and (e.g., machine learning, natural language processing) to discover and understand data patterns and trends to generate actionable insights and solutions for client services, product enhancement, and business impact.
- Engages in training, deploying, and monitoring machine learning models, and in architecting solutions for the entire model lifecycle.
- Optimizes prompts.
- Summarizes and interprets data and analysis insights and findings to make recommendations to stakeholders.
- Implements Extract, Transform, Load (ETL) for data pipelines while ensuring data security and privacy.
- Develops efficient and scalable code and tests.
- Maintains familiarity with current developments in the data science field and integrates knowledge into model development.
Benefits
- flexible medical
- life insurance
- retirement options
- volunteer programs
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
