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Research Category National Occupational Standard Framework for Data & Artificial Intelligence KNOWLEDGE SKILLS Knowledge of public safety and security operations and systems, of policy, regulations and procedures for the protection of people, data and property. Knowledge of all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of research. Knowledge of arithmetic, algebra, geometry, calculus and their applications, principles, methods and function. Knowledge of core AI disciplines create new methods and architectures of new algorithms. Knowledge of one or more specialized areas; e.g., deep learning (DL), reinforcement learning (RL), planning, information representation & retrieval, graphs, multiagent systems (MAS), natural language processing (NLP), or other AI fields. Knowledge of critique statistical analyses, and application of machine learning techniques and methodologies. Knowledge of a broad range of statistical tools, particularly those deployed within the organization, & can use these appropriately and help others to use them. Knowledge of ML/DL techniques both from mathematical formulation to applied issues such as loss functions, optimization methods, sampling, under- and over-fitting. Knowledge of the role of ethical AI and its application in research projects. Knowledge of exploratory and confirmatory data analysis. Knowledge of computer systems organization for big data applications, CAP, BASE and ACID theorems. Knowledge of quantitative and qualitative analytics. Knowledge of data visualization tools and agile delivery methodologies and concepts. AI-R-K01 AI-R-K02 AI-R-K03 AI-R-K04 AI-R-K05 AI-R-K06 AI-R-K07 AI-R-K08 AI-R-K09 AI-R-K10 AI-R-K11 AI-R-K12 AI-R-K13 Skill in working with ML frameworks, libraries, and packages. Skill in working in an interdisciplinary research environment, especially running experiments. Skill in providing guidance & advice to enable decision-making about tasks, situations, and processes. Skill in preparing and delivering written, oral or visual material for the workplace that presents information. Skill in developing alliances, contacts or partnerships, and exchanging information with others. Skill in building models and simulations to describe data, predict events, and inform a course of action. Skill in examining data or facts to determine appropriate actions or recommendations. Skill in determining phases and steps, defining activities and tasks and establishing schedules to complete objectives on time and within budget. Skill in estimating the results of an action or a series of actions. Skill in developing machine learning, statistical models and experimental designs. Skill in directing & monitoring the performance of others. Skill in identifying & defining concrete machine learning tasks and solutions when presented with broader customer needs. AI-R-S01 AI-R-S02 AI-R-S03 AI-R-S04 AI-R-S05 AI-R-S06 AI-R-S07 AI-R-S08 AI-R-S09 AI-R-S10 AI-R-S11 AI-R-S12 National Occupational Standard Framework for Data & Artificial Intelligence