Sr. Principal Applied Scientist

🏢 Oracle
📍 Nashville, United StatesFull-timeOn-site
📅 Posted: 3w ago🔄 Updated: 3w ago
CV%
✨ AI Summary
Oracle Cloud Infrastructure (OCI) is seeking a Senior Principal Applied Scientist to develop AI-enabled platform capabilities for scientific and data-intensive enterprise use cases. This role involves working at the intersection of applied natural sciences, data science, and AI engineering, partnering with product management, customers, and engineers to define problems, develop solutions, and deploy high-quality capabilities into production. The ideal candidate will have a PhD in a relevant quantitative scientific discipline or a Master's degree with 8+ years of experience, strong scientific judgment, practical technical depth, and a customer-oriented mindset. Responsibilities include leading research and development, prototyping, evaluating and refining solutions, and applying expertise in natural sciences and AI/data science techniques. The role requires experience with Python and common data science libraries, strong communication skills, and technical leadership capabilities. Experience with generative AI, large language models, and cloud platforms is preferred.
Required Skills
Other
scientific judgmenttechnical depthcustomer-oriented mindsetscientific inquiryproduct deliveryiterating quicklymeasurable valueexperimentationscientific dataproduct managersstrategic customersscientific workflowsdata challengesrequirementsevaluating solutionstradeoffscustomer needsreusable platform servicesconfigurable platform servicesnatural scienceslife sciencesreal-world problemsscientific librariesplatform decisionsemerging methodsemerging toolsemerging datasetsemerging technologiesexplain complex concepts
Soft Skills & Professional Competencies
ResearchCommunicationExecution
Information Technology
API DevelopmentData ScienceMachine LearningAI IntegrationData Engineering & AnalyticsData QualityModel EvaluationPythonSoftware Engineering
Engineering, Construction & Trades
CAPARefiningToolingDesign Review
Productivity & Workplace Tools
Typing
Healthcare & Life Sciences
Molecular BiologyBiology
Business, Sales & Management
Marketing AnalyticsProject ManagementMentoring
Science & Research
Experimental DesignStatistical ModelingScientific Computing
Finance, Legal & Governance
Valuation
Nice to have:
Information Technology
Generative AILarge Language ModelsAI AgentsData PlatformsData PipelinesData GovernanceKnowledge GraphEnterprise ApplicationsOpen Source ContributionOCI
Business, Sales & Management
Lead GenerationPerformance ManagementSAFe
Engineering, Construction & Trades
MEP Systems
Other
ontologycloud-based analyticsAI modelsproduction cloud servicesresponsible AI practicesAI quality assessmentpatentsinnovationlarge enterprise customerstechnical solutionsmajor cloud platform
Finance, Legal & Governance
Valuation
🎁 Benefits & Perks
Medical, dental, and vision insurance, short term and long term disability, life insurance and AD&D, supplemental life insurance, health care and dependent care Flexible Spending Accounts, pre-tax commuter and parking benefits, 401(k) Savings and Investment Plan with company match, flexible vacation, 11 paid holidays, paid sick leave, paid parental leave, adoption assistance, Employee Stock Purchase Plan, financial planning and group legal, voluntary benefits including auto, homeowner and pet insurance.
Requirements
Requires a PhD in a quantitative scientific discipline or a Master's degree with 8+ years of relevant experience. Must have expertise in an applied natural-science domain and significant hands-on experience applying data science, machine learning, AI integration, data engineering, or analytics to real-world problems. Proven ability to lead complex R&D initiatives, experience in iterative environments, strong knowledge of experimental design, statistical analysis, data quality, model validation, and quantitative evaluation. Proficiency in Python and common scientific/data-science/ML libraries is essential, along with strong communication and technical leadership skills.
Description

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for enterprises as a diverse team of creators and inventors. We combine the speed and mindset of a start-up with the scale, security, and customer focus of a leading enterprise software company.

OCI is seeking an exceptional Senior Principal Applied Scientist to develop AI-enabled platform capabilities for scientific and data-intensive enterprise use cases. This role will begin by addressing the needs of a large strategic customer and will evolve those learnings into scalable, reusable OCI platform capabilities for a broader customer base.

You will work at the intersection of applied natural sciences, data science, and AI engineering. You will partner closely with product management, customers, applied scientists, and software engineers to define problems, develop and evaluate solutions, and bring high-quality capabilities into production. This is an ideal role for a scientist who is comfortable operating in a fast-paced environment, iterating quickly as customer needs evolve, and translating scientific domain knowledge into practical cloud and AI products.

As a Senior Principal Applied Scientist, you will provide technical leadership for complex, high-impact initiatives. You will establish scientific and technical direction, lead research and applied-development efforts, influence architecture and product strategy, and mentor other scientists and engineers.
 

Career Level — IC5

 

 

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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00