Director, Applied Science

Forms partnerships with cross-functional leaders to develop strategies to better identify and address business and product needs, and identifies solutions to address product and/or business problems. Directs research programs 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. Leverages resources to enable operations support and ensure successful delivery of solutions and drive the technical strategy. Participates in the research community by publishing and presenting research findings and serving as a keynote speaker.

Key Responsibilities

Solution Identification:

–Forms partnerships with cross-functional leaders to develop strategies to better identify and address strategic, critical business and product needs related to the use of machine learning (ML) and/or artificial intelligence (AI). –Leads the group to set quality standards and execute the end-to-end science strategy to address multiple product and/or business problems. –Directs the implementation of research and development strategies for innovative products and services.

Solution Development – Applied Research:

–Directs the implementation of standards for the development and piloting of research proofs-of-concept (POCs) or research experiments to demonstrate the feasibility of proposed solutions, gather supporting evidence, and secure support and funding for applied research. –Contributes to the design of group-wide standards for the selection and preparation of datasets for applied research. Ensures that high quality, comprehensive datasets are used across the organization. –Directs research programs to identify new theories, tools, and methodologies to transfer and apply state-of-the-art technologies into products and services or make advancements in the field.

Solution Development:

–Defines standards for the design, development, and optimization of machine learning models, large language models, and generative AI technologies, such as training/finetuning and computation optimizations. –Drives the use of best practices for the architecture of ML and AI solutions, such as data, model, training, and evaluation.

Solution Development – Articulating Research Insights:

–Drives the use of best practices to identify meaningful insights from data and metadata sources from analysis and experiments. –Guides the group to interpret and communicate insights and findings throughout the organization. –Leads the creation of patents, white papers, or other technical documentation related to applied research outcomes.

Solution Delivery – Coding and Documentation:

–Identifies improvements to group processes for the development of efficient, bug-free code from scratch, as well as the maintenance and organization of the existing codebase. –Communicates and promotes best practices for version control, code review, and code delivery/deployment. –Reviews professional documentation for technical processes (experimentation, data collection and analyses, model building).

Solution Delivery:

–Leverages resources to enable operations support and ensure successful delivery of solutions and drive the technical strategy. –Drives cross-functional initiatives to ensure the successful and timely delivery of solutions and integration of services. –Forms cross-functional partnerships to facilitate the deployment of solutions into production environments.

Building Research Capability – Research Excellence:

–Promotes a culture of excellence related to applied research technology areas. –Builds domain expertise within the group and ensures the group leverages best practices in applied research.

Building Research Capability – Research Community Presence:

–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.

Core Responsibilities

Planning & Execution:

–Oversees and guides multiple teams on managing complex projects or initiatives, monitoring timelines, deliverables, and budgets when applicable to ensure strategic objectives are met. –Serves as a role model for appropriately delegating work, setting priorities, and ensuring alignment with business needs. –Coaches others on adjusting resources or project timelines in anticipation of business changes.

Collaboration & Partnership:

–Role models leading cross-functional collaborative efforts to ensure alignment of expectations and strategic objectives. –Empowers team to build and maintain partnerships with business leaders, stakeholders, and/or customers to address barriers and contribute to organizational success. –Drives transparency and inclusivity by modeling actively seeking, listening to, and leveraging diverse perspectives.

Problem Solving:

–Shares problem-solving strategies across teams, providing oversight on complex operational and/or technical issues, as needed. –Coaches teams on analyzing highly complex data and/or information to identify solutions to ambiguous issues and provides direction on identifying root causes to prevent recurrence of issues.

Continuous Learning:

–Pursues strategic learning opportunities to maintain expertise and apply best practices at the organizational level. –Creates opportunities for team members and leaders to build their expertise in new areas, coaching them to build innovative skills. –Identifies skill gap trends across the organization, and upholds a culture that places significant emphasis on sharing knowledge and pursuing learning opportunities that advance the organization. –Evaluates efficiency of learning strategies and recommends adjustments as needed.

Continuous Improvement:

–Empowers team to own the development and implementation of ideas that increase the efficiency and effectiveness of processes, protocols, and workflows across the department. –Coaches teams to gain buy-in for ideas and to seek feedback on approaches and methods for continued improvement. –Prioritizes and reviews the roadmap of improvement initiatives to ensure alignment with strategic direction and maximize return on investments.

Performance and Development:

–Serves as a role model for driving performance across teams through tailored feedback and coaching in alignment with performance management processes, guidelines, and expectations. –Drives consistency in the application of talent development procedures and socializes performance expectations across the organization. –Ensures that individual development goals are aligned with organizational strategic initiatives. –Collaborates with HR to implement talent strategy through hiring and promotion processes.

Minimum Job Qualifications

Education and/or Experience:

12 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 8 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 6 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 4 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field.

Job Skills:

Same skills as prior level.

Programming Language:

5 years of experience in applicable programming language.

Preferred Job Qualifications

Education and/or Experience:

14 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 10 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 8 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 6 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field.

People Leadership / Management Experience:

4 years of experience in a leadership role with direct reports.

Budget Experience:

3 years of experience working with operating budgets and/or project financials.

Academic Writing and Publication:

5 year of experience creating publications (e.g., white papers, peer-reviewed conference or journal articles).

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