Lead Principal Applied Scientist

Internal Responsibilities

Key Responsibilities
Solution Identification:

• –Partners with science, engineering, and product experts and leaders to establish processes for teams to identify and address strategic business and product needs related to the use of machine learning (ML) and/or artificial intelligence (AI).
• –Evaluates the literature and market to understand the difficulty and scope of problems. Leverages understanding and expertise to break down problems for others.
• –Sets science quality standards for the Line of Business (LOB), and leads the end-to-end execution of science strategy to address product and/or business problems.
• –Drives and plans the identification and prioritization of solutions based on the scientific process (e.g., including modeling approaches, evaluation techniques, data collections).
• –Identifies opportunities to apply delivered solutions across product and/or business problems.

• –Ensures research proofs-of-concept (POCs) or research experiments are designed to validate proposed solutions, gather robust supporting evidence, and assess the risks and rewards of solutions. Gains buy-in for applied research.
• –Leverages subject matter expertise to establish criteria used to select and prepare datasets for use in applied research. Provides expert review of datasets to ensure high quality data is being leveraged and addresses gaps in the data.
• –Leads the design and execution of research programs on new theories, tools, and methodologies to transfer and apply state-of-the-art technologies into products and services or make advancements in the field.

• –Guides the design, development, and optimization of ML and AI technologies, such as model training/fine-tuning and computation optimizations.
• –Leverages subject matter expertise to refine the architecture of ML and AI solutions, such as data, model, training, and evaluation, employing best practices.

• –Identifies meaningful insights from highly complex data and metadata sources from analysis and experiments.
• –Interprets and communicates insights and findings throughout Oracle.
• –Leads the creation of patents, white papers, or other technical documentation related to applied research outcomes.

• –Evaluates and offers guidance on high-complexity code written by team and properly maintains and organizes existing codebase.
• –Establishes best practices for version control, code review, and code delivery/deployment and guides less experienced team members.
• –Builds, maintains, and reviews professional documentation for technical processes (experimentation, data collection and analyses, model building).
• –Owns the repository for the team.

• –Guides technical teams to ensure the successful and timely delivery of solutions and integration of services.
• –Ensures successful collaboration with software engineers and/or machine learning engineers to deploy solutions into production environments.
• –Leads the peer review of solutions prior to delivery.
• –Coordinates the delivery of solutions with applied science team members.
• –Ensures delivered solutions successfully solve product and/or business problems.
• –Guides the definition of operational and user feedback metrics and analyzes metrics to inform the technical strategy of the LOB.
• –Facilitates partnerships with operational teams to evaluate and monitor solutions in production.

• –Demonstrates expertise and thought leadership within Oracle in at least one business-critical applied research technology area.
• –Leverages subject matter expertise to apply and guide others to apply domain knowledge and industry best practices to applied research.

• –Leads the publication, presentation, and review of research findings and papers in top-tier conferences, research and industry outlets, etc.
• –Serves as a keynote speaker in conferences or panels.
• –Participates in the scientific community by providing peer review and feedback.
• –Establishes collaboration with external research labs in industry, where plausible, or academia.

• –Manages and provides direction on timelines, deliverables, and budgets when applicable for critical high-impact projects or initiatives that impact the line of business, ensu