Oracle Cloud Infrastructure (OCI) is seeking a Principal Data Scientist to address the complex technical challenges of Compute and AI Infrastructure by building analytical and optimization systems to improve infrastructure efficiency and customer experience as OCI scales to meet growing demand.
Requirements
- Experience with data warehousing and data lake technologies such as Oracle Object Storage, Apache Hadoop, Apache Hive, or Amazon Redshift
- Experience analyzing data, generating insights, and telling stories with data
- Strong understanding of data governance, data quality, and data security principles
- Experience with GenAI LLM models
- Experience with MLOps, building workflows for model retraining, monitoring and deploying
- Experience with ML frameworks such as TensorFlow, PyTorch
- Experience with cloud-based data platforms such as OCI, AWS, GCP, or Azure
Responsibilities
- Design, build, and maintain large-scale data pipelines for statistical analysis and ML modeling
- Collaborate with data scientists and other stakeholders to understand data needs and develop solutions that meet those needs
- Create comprehensive data strategy to enable reporting and business analytics
- Conduct research to evaluate data and answer strategic business questions
- Generate actionable insights and enable reporting through data transformation, statistical analyses, or machine learning methods
- Fine-tune and optimize algorithms and models to ensure scalability, reliability, and performance at a high level
- Develop and maintain data architectures that support data warehousing, data lakes, and data governance
Other
- BS (or equivalent experience) in Data Science, Computer Science, Applied Mathematics, Engineering, or related quantitative or technical field
- 8+ years of data science or software engineering experience
- Excellent communication and collaboration skills
- Maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills
- Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment
