Applied Science Architect

Oracle•United States,

About The Position

Partners with science, engineering, and product leaders to develop strategies to identify and address business and product needs, and leads the integration, alignment, prioritization, and execution of research and development strategies to develop innovative products and services. Advises on the design and execution of research end-to-end applied research: surveying state of the art, preparing high-quality datasets, running POCs/experiments, and designing, training, and optimizing ML/AI models and solution architectures. Drives cross-functional initiatives to deliver and deploy solutions into production, and ensures delivered solutions successfully solve product and/or business problems. Participates in the research community by publishing and presenting research findings and serving as a keynote speaker.

Requirements

18 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field OR Bachelor's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 14 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field OR Master's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 12 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field OR Doctorate in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 10 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field.
Same skills as prior level.
3 years of experience overseeing a lab and/or research group.
10 years of experience in applicable programming language.

Nice To Haves

19 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field OR Bachelor's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 15 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field OR Master's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 13 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field OR Doctorate in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 11 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field.
3 years of experience in a leadership role with or without direct reports.
3 years of experience working with operating budgets and/or project financials.
6 year of experience creating publications (e.g., white papers, peer-reviewed conference or journal articles).

Responsibilities

Partners with science, engineering, and product leaders to develop strategies for Oracle to identify and address strategic business and product needs related to the use of machine learning (ML) and/or artificial intelligence (AI).
Leverages market trends and subject matter expertise to identify and understand problems that will make an impact across Oracle and the industry. Builds and communicates an understanding of the potential risks and rewards associated with problems to senior executives.
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.
Leads the integration, alignment, prioritization, and execution of research and development strategies to develop innovative products and services.
Drives and integrates emerging industry developments into solution strategies and proposes new directions for the business.
Identifies opportunities to apply delivered solutions across a line of business.
Leverages results of proofs-of-concept (POCs) or research experiments to communicate the risks, rewards, and strategic impact associated with innovative solutions and gain buy-in for applied research strategies from executive stakeholders.
Consults on the establishment of Oracle-wide standards for the selection and preparation of datasets for applied research. Ensures that high quality, comprehensive datasets are used across the organization.
Advises on the design and execution of innovative 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.
Informs standards for the design, development, and optimization of ML and AI technologies, such as model training/fine-tuning and computation optimizations.
Drives the use of best practices for the architecture of ML and AI solutions, such as data, model, training, and evaluation.
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, offers guidance on, and serves as a resource across the team on high-complexity code and properly maintains and organizes existing codebase.
Identifies improvements and updates to 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.
Leverages tools to improve coding and documentation productivity.
Drives cross-functional initiatives to ensure the successful and timely delivery of solutions and integration of services.
Directs cross-functional teams 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.
Provides technical leadership for the definition of operational and user feedback metrics and analyzes metrics to inform the technical strategy of the LOB.
Demonstrates expertise and thought leadership within Oracle and the industry in at least one business-critical applied research technology area.
Builds domain expertise within the LOB and guides teams to leverage industry best practices in 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.
Oversees timelines, deliverables, and budgets where applicable for projects or initiatives in the line of business that achieve critical business objectives, ensuring milestones are completed efficiently and in alignment with requirements.
Sets priorities at an organizational level and adjusts as needed to accommodate resource or timeline changes, aligned with business needs.
Drives collaboration across multiple lines of business and external stakeholders to influence alignment on expectations, strategic objectives, and proposed solutions.
Cultivates strategic partnerships with senior business leaders, stakeholders, and/or customers, pursuing opportunities for expanding partnerships and ensuring long-term organizational success.
Promotes a culture of transparency and inclusivity where all voices are valued and respected.
Serves as a technical expert and resource across the line of business to resolve high-impact, ambiguous, or novel issues using advanced methodologies and techniques.
Drives strategic problem-solving initiatives, leveraging information and/or data from wide-ranging sources to ensure efficient resolution and prevent recurrence.
Leverages deep expertise of the industry and multiple areas to serve as a thought leader within Oracle and to mentor other leaders and experts.
Contributes to the advancement of the field or industry through thought leadership (e.g., conference presentations, white papers, research contributions).
Continuously builds expertise by anticipating future trends, technologies, and industry standards to develop best practices and strategic goals that position the line of business as an industry leader.
Develops and implements strategies for continuous learning and knowledge sharing, fostering an environment where learning is prioritized.
Leads and influences the design of innovative and high-impact processes and approaches to achieve greater efficiency and effectiveness across the line of business.
Fosters a culture of idea generation and seeking feedback on solutions across departments and functions for continued improvement.
Provides thought leadership regarding organizational talent strategy, collaborating with executive leadership and HR to anticipate talent needs based on industry forecasts.
Imparts strategic guidance to shape the talent development pipeline.