Senior Principal 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 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.ResponsibilitiesAct as a leader on large-scale company initiatives and be viewed by peers as a top contributor.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.Experience in formulating analytical problems into actionable research and applying advanced machine learning techniques for problem solving.Good communication skills to convey sophisticated topics in straightforward terms to stakeholders (internal or external).A drive to solve hard problems at scale.Experience in technical writing, project documentation, and/or technical publications.Required SkillsBS in Computer Science, Data Science, Machine Learning, or related technical fields.At least 10 years of hands-on experience (may include graduate studies in computer science or related technical fields) 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.Preferred SkillsMS/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.TravelThe position will require approximately 25% travel to Columbia, MD, or Denver, CO.Disclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.Range and benefit information provided in this posting are specific to the stated locations only.US: Hiring Range: from $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.Oracle US offers a comprehensive benefits package which includes the following:Medical, dental, and vision insurance, including expert medical opinion.Short term disability and long term disability.Life insurance and AD&D.Health care and dependent care Flexible Spending Accounts.Pre-tax commuter and parking benefits.401(k) Savings and Investment Plan with company match.Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position.11 paid holidays.Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.Paid parental leave.Adoption assistance.Employee Stock Purchase Plan.Financial planning and group legal.Voluntary benefits including auto, homeowner and pet insurance.About UsAs 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.When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first 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 calling +1 888 404 2494, option one.Disclaimer: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.* Which includes being a United States Affirmative Action Employer.

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