Phd Graduate / Data Scientist

Oracle's Software Assurance organization has the mission to make application security and software assurance, at scale, a reality. We are an inclusive and diverse team of high caliber data science and ML application researchers and engineers, distributed globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Principal Data Scientist, you will work closely with the technical, engineering and research teams on innovative, strategic projects including advanced applications of ML for the organization. This role is responsible for working on innovative projects for the team, collaborating with other experienced professionals, communication with both internal and external stakeholder leadership teams, and must demonstrate critical thinking abilities, outstanding communication skills, project management experience and the ability to lead and collaborate with other experienced technical professionals. Being part of one of the most strategic departments of Oracle, cooperating with an international team of data science and ML experts with diverse backgrounds worldwide. Opportunities for career growth and technical leadership Exposure to cutting edge applications of AI/ML and the opportunity to work with research teams on innovative solutions MS in Computer Science, Data Science, Machine Learning, or related technical fields At least 8 years of hands-on experience (may include graduate studies in computer science or related technical fields) with increasing scope in developing and implementing ML solutions Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis Strong software development experience through hands on coding Detailed knowledge of modern deep learning concepts, including but not limited to Generative AI (GenAI) models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM) Experience in formulating analytical problems into actionable research and applying advanced machine learning techniques for problem solving Experience in technical writing, project documentation, and/or technical publications PhD in Computer Science, Data Science, Machine Learning, or related technical fields Familiarity with Learning to Rank models, recommender systems, especially deep learning-based recommender systems, computer vision models, Generative AI models Familiarity with ML model provenance, model versioning, and model catalogs Familiarity with serverless architecture, ML model hosting strategies, and model testing techniques As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. 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 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.#