O

Oracle

Builds databases, business apps and cloud services

Lead Principal Applied Scientist

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Expert subject-matter knowledge in at least one business-critical applied research technology area.
  • Ability to evaluate scientific literature and markets to assess problem difficulty and scope.
  • Ability to set science quality standards and lead end-to-end science strategy for product and business problems.
  • Expertise in selecting and preparing high-quality datasets for applied research.
  • Expertise in designing and executing research programs, proofs of concept, and experiments.
  • Expertise in designing, developing, training, fine-tuning, and optimizing machine learning and artificial intelligence models and solutions.
  • Expertise in machine learning and artificial intelligence solution architecture, including data, models, training, and evaluation.
  • Ability to identify insights from complex data and metadata and communicate research findings.
  • Ability to guide high-complexity code, maintain codebases, establish version control and code review practices, and maintain technical documentation.
  • Ability to guide technical teams and coordinate solution delivery and production deployment.
  • Ability to define operational and user feedback metrics and evaluate production solutions.
  • Ability to manage timelines, deliverables, and budgets for high-impact projects and initiatives.
  • Ability to lead advanced problem-solving efforts and address complex, ambiguous issues.
  • Ability to monitor emerging trends, technologies, and industry standards and apply relevant expertise.
  • Ability to serve as a subject matter expert in talent needs and organizational talent strategy.
  • Ability to participate in candidate interviews and assessment and contribute to hiring decisions.

Responsibilities

  • Partner with science, engineering, and product leaders to identify strategic business and product needs and plan solutions.
  • Evaluate literature and markets, assess problem scope, and break complex problems down for others.
  • Set science quality standards for the line of business and lead execution of science strategy.
  • Plan and prioritize solutions using scientific methods, including modeling approaches, evaluation techniques, and data collection.
  • Identify opportunities to apply delivered solutions to additional product and business problems.
  • Design and oversee research proofs of concept and experiments to validate solutions and assess supporting evidence, risks, and rewards.
  • Establish dataset selection and preparation criteria, review dataset quality, and address data gaps.
  • Lead research programs involving new theories, tools, and methodologies and transfer state-of-the-art technologies into products and services.
  • Guide the design, development, training, fine-tuning, and optimization of machine learning and artificial intelligence technologies.
  • Refine machine learning and artificial intelligence solution architectures using best practices.
  • Identify meaningful insights from complex data and metadata and communicate findings across Oracle.
  • Lead the creation of patents, white papers, and other technical documentation related to applied research.
  • Evaluate complex code, guide codebase maintenance, and establish practices for version control, code review, and code delivery or deployment.
  • Build, maintain, and review documentation for experimentation, data collection, analyses, and model building; own the team's repository.
  • Guide technical teams to deliver solutions and integrate services successfully and on time.
  • Collaborate with software and machine learning engineers to deploy solutions into production.
  • Lead peer review of solutions, coordinate delivery with applied science team members, and ensure solutions address business and product problems.
  • Define operational and user feedback metrics and use them to inform technical strategy.
  • Partner with operational teams to evaluate and monitor solutions in production.
  • Apply and guide others in applying domain knowledge and industry best practices to applied research.
  • Lead publication, presentation, and review of research findings and papers; serve as a keynote speaker; provide scientific peer review; and establish collaborations with external research labs or academia.
  • Manage timelines, deliverables, and budgets for critical high-impact projects and initiatives and plan for shifts in resources or timelines as priorities change.
  • Influence cross-functional leaders and external stakeholders to align on strategic objectives and develop long-term partnerships.
  • Lead advanced problem-solving efforts, guide data-driven approaches to ambiguous issues, identify root causes, and implement preventative solutions.
  • Contribute to industry advancement through thought leadership, conference presentations, white papers, and research contributions.
  • Monitor emerging trends, technologies, and industry standards and share knowledge and professional development across teams.
  • Develop and implement process improvements, evaluate their effectiveness, and design metrics to measure outcomes.
  • Contribute subject-matter expertise to talent strategy and participate in interviewing, candidate assessment, and hiring decisions.

About the Company

Oracle

Builds databases, business apps and cloud services

Oracle builds databases, business applications, and cloud infrastructure for companies and public-sector organizations. Oracle Database stores and processes business data, while Oracle Cloud Infrastructure provides computing, storage, and networking for applications and AI workloads. Fusion Cloud Applications support finance, human resources, supply chains, and customer service, helping businesses manage everyday operations and reporting. Customers pay for cloud subscriptions and usage, software licenses, support, hardware, and consulting, with deployment options in Oracle's cloud or their own data centers. Oracle was founded in 1977 and is headquartered in Austin, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Austin, TX
Founded
1977

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