The Oracle Cloud Infrastructure Compute team is seeking a passionate, experienced Principal Data Scientist to tackle complex technical challenges of the Compute and AI Infrastructure, building sophisticated analytical and optimization systems to drive infrastructure optimization and efficiency improvements through data analysis, AI/ML/DL modeling, and data visualization. As OCI continues to scale to meet the demands of an ever-growing customer base and regions, we need hands-on scientists who can lead data-driven initiatives to ensure OCI provides an outstanding customer experience while continuously improving the efficiency of OCI Compute and AI Infrastructure. The ideal candidate thrives in ambiguity, can quickly distill abstract ideas into concrete solutions, and has a proven track record of delivering business intelligence and reporting solutions across complex environments involving multiple organizations, departments, and teams. Location: Seattle, WA - hybrid role 3 days in office Responsibilities: Design, build, and maintain large-scale data pipelines for statistical analysis and ML modeling. Collaborate with data scientists and stakeholders to understand data needs and develop solutions. Create comprehensive data strategies to enable reporting and 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. Optimize algorithms and models for scalability, reliability, and performance. Develop and maintain data architectures supporting data warehousing, lakes, and governance. Work with cross-functional teams to integrate data pipelines. Ensure data quality, integrity, and security. Develop metrics and monitoring to ensure pipeline performance. Provide guidance and mentorship to junior data scientists. Stay updated with the latest in machine learning, statistics, and data science, applying new techniques to improve processes and products. Basic Qualifications: BS in Data Science, Computer Science, Applied Mathematics, Engineering, or related field. 8+ years of data science or software engineering experience. Experience with data warehousing and lakes such as Oracle Object Storage, Hadoop, Hive, or Redshift. Experience analyzing data, generating insights, and storytelling with data. Strong understanding of data governance, quality, and security principles. Excellent communication and collaboration skills. Preferred Qualifications: Data visualization and communication skills. Maturity, judgment, negotiation skills, and leadership. Self-driven problem solver in dynamic environments. Experience with GenAI LLM models, MLOps, ML frameworks like TensorFlow, PyTorch. Experience with cloud platforms (OCI, AWS, GCP, Azure). Experience with data visualization tools like Oracle Analytics Cloud, Tableau, Power BI.

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