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Resolving database issues involving DataGuard and Failsafe, Backup and Recovery, Recovery Manager (RMAN), and Data Corruption - 8 years. The ideal candidates should have a degree or equivalent experience in Computer science/Management Information Systems/Science/Engineering/Math/Physics.
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The Principal Product Manager is responsible for defining and driving the OHAI's Life Sciences Data Management and Warehousing products. BS/MS in Computer Science or Management Information Systems(MIS.
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Bachelor's degree in computer science, Software Engineering, Systems Engineering, Data Science, Mathematics or related field from an accredited college or university and six (6) years of demonstratable experience.
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A PhD in computer science on natural language processing or speech processing is. modeling and/or big data management and curation. Works in a detail-oriented manner, with a focus on quality of the product, data, and.
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BS/MS in Computer Science or MIS degree or equivalent experience relevant to functional area. You'll work with an experienced team of product managers as well as cross-functionally to provide a best-in-class Data Management and Warehousing solution.
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Experience in Life Sciences industry specifically with data capture and data management software solutions is desirable. An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in.
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At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. Oracle Health & Application Infrastructure (OHAI) organization develops applications that help pharmaceutical companies bring new therapies to market quickly and safely.
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Experience with specific technologies or domains (e.g., web development, mobile app development, data science, DevOps) Bachelor's degree in computer science, Software Engineering, or a related field (or equivalent work experience.
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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. 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.
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MS/PhD in Computer Science, Data Science, Machine Learning, or related technical fields. BS in Computer Science, Data Science, Machine Learning, or related technical fields.
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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. As a Senior Data Scientist, you will work closely with the technical and research teams on innovative, strategic projects including advanced applications of ML for the organization.
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At least 5 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.
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Senior Data Scientist. Oracle careers open the door to global opportunities where work-life balance flourishes. As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems.
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Relevant internship or work experience in accounting consolidation and reconciliation, financial planning and reporting, corporate tax reporting, data processing and data management, data science.
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You will complete your role largely independently within defined policies and procedures as part of a team of statistician and data science peers. The Oracle Life Sciences GIU is seeking a highly motivated professional to join the Life Sciences Research Services team as a Senior Statistician within the Real-World Evidence Data and Analytics team.
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data science jobs Company: Oracle
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