Oracle
Senior Principal Data Scientist
Oracle, Hartford, Connecticut, us, 06112
Oracle Senior Principal Data Scientist - Hartford, Connecticut
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 productionizing Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Senior Principal Data Scientist, you will work closely with the technical and research teams on innovative, strategic projects including advanced applications of ML for the organization. This role is responsible for the technical direction of the team and for 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 other experienced technical professionals.Responsibilities:Lead the technical direction of the team and communicate with internal and external stakeholders.Act as a leader on large-scale company initiatives and be viewed by peers as a top contributor.Evaluate and understand large production deep learning systems composed of dozens of models.Develop novel metrics that provide analytical insights to non-technical stakeholders into how well these systems are operating.Required Skills:BS in Computer Science, Data Science, Machine Learning, or related technical fields.At least 10 years of hands-on experience with increasing scope in developing and productionizing ML solutions.Experience should include 4+ years in roles with technical leadership scope in Data Science or ML Engineering.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 models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM).Familiarity with version control practices (Git), containers, MLOps.Experience with at least one cloud platform.Good communication skills to convey sophisticated topics in straightforward terms to stakeholders.A drive to solve hard problems at scale.Experience in technical writing, project documentation, and/or technical publications.Preferred Skills:MS/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 serverless architecture, ML model hosting strategies, and model testing techniques.Travel:The position will require approximately 25% travel to Columbia, MD, or Denver, CO.About Us:As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds. Oracle careers open the door to global opportunities where work-life balance flourishes.
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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 productionizing Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Senior Principal Data Scientist, you will work closely with the technical and research teams on innovative, strategic projects including advanced applications of ML for the organization. This role is responsible for the technical direction of the team and for 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 other experienced technical professionals.Responsibilities:Lead the technical direction of the team and communicate with internal and external stakeholders.Act as a leader on large-scale company initiatives and be viewed by peers as a top contributor.Evaluate and understand large production deep learning systems composed of dozens of models.Develop novel metrics that provide analytical insights to non-technical stakeholders into how well these systems are operating.Required Skills:BS in Computer Science, Data Science, Machine Learning, or related technical fields.At least 10 years of hands-on experience with increasing scope in developing and productionizing ML solutions.Experience should include 4+ years in roles with technical leadership scope in Data Science or ML Engineering.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 models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM).Familiarity with version control practices (Git), containers, MLOps.Experience with at least one cloud platform.Good communication skills to convey sophisticated topics in straightforward terms to stakeholders.A drive to solve hard problems at scale.Experience in technical writing, project documentation, and/or technical publications.Preferred Skills:MS/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 serverless architecture, ML model hosting strategies, and model testing techniques.Travel:The position will require approximately 25% travel to Columbia, MD, or Denver, CO.About Us:As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds. Oracle careers open the door to global opportunities where work-life balance flourishes.
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