Senior Applied Scientist

Job Description Job Description We are looking for a Senior Applied Scientist to support the development of next-generation generative AI powered solutions for Oracle Analytics. You will be responsible for designing new approaches to natural language based interaction with structured data, creating agentic systems for multi-faceted data analysis, developing advanced personalization and customization techniques, and integrating your solutions into intelligent applications for industry verticals. You will conduct in-depth research, produce production-ready code, and collaborate with a cross-functional team to integrate your work into applications and services. This role requires deep expertise in machine learning, data science and generative AI, including LLMs (fine-tuning, adaptation, personalization), agents/agent frameworks, and tool orchestration. Preferred qualifications include practical experience with machine learning approaches for structured data, tabular representation learning, graph neural networks, time series modeling, and operations research/mathematical optimization. Candidates should have the demonstrated ability to design novel solutions that advance the state of the art in response to business requirements, as evidenced by publications in first-tier conferences or journals and impact on successfully deployed software products that operate at scale. Responsibilities Responsibilities: - Collaborate with a larger science team to develop innovative science solutions in response to business requirements. - Research and develop innovative approaches leveraging recent advances in generative AI, mathematical optimization, and machine learning for structured data. - Write high quality code to power experiments and build models. Contribute to writing production model code. - Collaborate with data engineers to provide guidelines for data collection and annotation. - Collaborate closely with cross-functional teams to deliver solutions into various applications and products. - Identify new opportunities for scientific exploration and evaluate emerging technologies. Qualifications and Experience: - PhD in Computer Science, Mathematics, Statistics, Engineering, or a related field and a minimum of 5 years work experience in AI/Generative AI/Machine Learning in an industry setting. - Publication record in first-tier journals or conferences. - Hands-on experience in generative AI and model/application evaluation. - Proficiency in Python, SQL, Spark. - Strong understanding of machine learning algorithms and architectures - Excellent problem-solving and analytical skills - Strong communication abilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sectorand continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [Confidential Information] or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.