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myGwork - LGBTQ+ professionals & allies

Principal Data Scientist

myGwork - LGBTQ+ professionals & allies, Columbia, Maryland, United States, 21046


This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.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 and research teams on innovative, strategic projects including advanced applications of ML for the organization. This role is responsible for leading innovative projects for the team, leading 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 other experienced technical professionals.What We Offer

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 worldwideOpportunities for career growth and technical leadershipExposure to cutting edge applications of AI/ML and the opportunity to work with research teams on innovative solutionsEvaluating and understanding large production deep learning systems composed of dozens of modelsDeveloping novel metrics that provide analytical insights to non-technical stakeholders into how well these kinds of systems are operating.Career Level - IC4Required Skills

BS in Computer Science, Data Science, Machine Learning, or related technical fieldsAt least 6 years of hands-on experience (may include graduate studies in computer science or related technical fields) with increasing scope in developing and implementing ML solutionsAct as a leader on large-scale company initiatives and be viewed by peers as a leader and top contributor and by line management as a key business partnerThorough understanding of CS fundamentals including data structures, algorithms, and complexity analysisStrong software development experience through hands on codingDetailed 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, MLOpsExperience with at least one cloud platformExperience in formulating analytical problems into actionable research and applying advanced machine learning techniques for problem solvingGood communication skills to convey sophisticated topics in straightforward terms to stakeholders (internal or external)A drive to solve hard problems at scaleExperience in technical writing, project documentation, and/or technical publicationsPreferred Skills

MS/PhD in Computer Science, Data Science, Machine Learning, or related technical fieldsFamiliarity with Learning to Rank models, recommender systems, especially deep learning-based recommender systems, computer vision models, Generative AI modelsFamiliarity with serverless architecture, ML model hosting strategies, and model testing techniquesTravel

The position will require approximately 25% travel to Columbia, MD, or Denver, COOracle 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.

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