{"schemaVersion":"1.0","exportedAt":"2026-05-15T12:40:46.347Z","occupation":{"soc":"15-2099.00","title":"Mathematical Science Occupations, All Other","group":"Computer & Mathematical","sector":"54","jobZone":4,"jobZoneInferred":true},"framework":{"version":"v.26.05","description":"","contextCovered":"This framework covers mathematical science professionals applying computational, analytical, and problem-solving competencies across enterprise IT, business analytics, research, and government environments requiring considerable academic and experiential preparation.","levels":{"emerging":{"label":"Emerging","statements":["Computer programs and systems — test and monitor under direct supervision following established protocols in an office or lab environment.","Program malfunctions — recognize and document initial symptoms using standard diagnostic checklists on enterprise software platforms.","Staff and end-users — assist with basic computer-related problems by following scripted troubleshooting guides in a support-desk setting.","Database management software — execute routine queries and generate pre-defined reports under senior staff guidance in a business analytics context.","Technical documentation — read and interpret system manuals and procedure guides to support assigned tasks in a mathematical or computational role.","Business problem data — enter, organize, and perform basic analysis using spreadsheet or database tools under direction in a professional services environment.","Web platform development software — perform minor updates and configuration tasks following detailed specifications provided by senior practitioners.","Critical thinking skills — apply structured reasoning to identify likely causes of routine system errors under close supervision in a computing environment.","Cloud-based management software — navigate administrative dashboards and log operational data as directed by lead analysts in a managed-services context.","Written findings — compile brief status reports on system tests and user issues using approved templates in a corporate or government office setting."]},"developing":{"label":"Developing","statements":["Program and system malfunctions — troubleshoot and resolve common failures with reduced oversight by applying learned diagnostic methods in an enterprise IT environment.","End-user support requests — triage, prioritize, and resolve computer-related problems independently, escalating only complex cases in a mid-sized organizational setting.","Computer installation projects — coordinate and test software installations across departmental systems, ensuring compatibility and minimal downtime in a business environment.","Business problem analysis — apply quantitative and mathematical methods to develop solutions for recurring operational challenges in a professional services or government context.","Database user interfaces — design and refine queries to extract actionable insights, adapting to evolving data structures in a production database environment.","System monitoring routines — maintain scheduled checks and automate alerts for program performance metrics in a cloud-based infrastructure setting.","Technical reports and documentation — author clear written analyses of system behavior and solution outcomes for non-technical stakeholders in a corporate environment.","Active learning practices — evaluate emerging software tools and apply relevant techniques to improve team workflows in a mathematical science or analytics role.","Graphics and document management software — produce and maintain visual and digital deliverables supporting analytical projects in a collaborative office environment.","Judgment and decision-making skills — assess risk and select among competing technical approaches for familiar problem types in a regulated industry setting."]},"proficient":{"label":"Proficient","statements":["Complex program and system malfunctions — diagnose and resolve non-routine failures autonomously, spanning multiple interdependent platforms in a large enterprise or research environment.","Integrated production and business systems — design and implement mathematical models that drive cross-functional business decisions in a data-intensive organizational context.","Full-scope system testing and monitoring — develop and execute comprehensive test plans, interpret results, and recommend architectural improvements in a production computing environment.","Staff and user problem resolution — handle escalated, ambiguous computer-related issues, applying advanced critical thinking and domain expertise in a complex organizational setting.","Database and data management architecture — evaluate and optimize database management systems for performance, security, and scalability in a cloud or hybrid infrastructure.","Inductive and deductive reasoning — synthesize incomplete or contradictory data to construct valid analytical conclusions for high-stakes business or government projects.","Web platform development software — lead configuration and customization of web-based analytical tools to meet specialized mathematical science requirements in a professional environment.","Cross-functional communication — translate complex quantitative findings into clear oral and written presentations for executive and non-specialist audiences in a corporate or agency setting.","Active learning and continuous improvement — independently evaluate and integrate new mathematical and computational techniques into existing workflows across a full project lifecycle.","Cautiousness and integrity in practice — apply rigorous validation and ethical judgment to ensure accuracy and trustworthiness of analytical outputs in high-consequence decision environments."]},"advanced":{"label":"Advanced","statements":["Organizational technology strategy — set direction for enterprise-wide program and system reliability standards, aligning mathematical science capabilities with long-term business goals.","Analytical solution frameworks — lead the design of scalable, integrated mathematical and computational systems that address novel, organization-level business challenges in complex environments.","Practitioner development — mentor and evaluate junior and mid-level staff on troubleshooting methodologies, analytical rigor, and professional standards across a mathematical science function.","Enterprise knowledge architecture — govern the selection, implementation, and lifecycle management of database management and cloud-based software platforms at organizational scale.","Innovation culture — champion adoption of emerging computational tools and mathematical techniques, establishing research agendas that position the organization at the forefront of the field.","Executive decision support — synthesize outputs from multiple analytical teams into authoritative recommendations, directly informing C-suite or agency leadership on mission-critical issues.","Cross-organizational collaboration — build and lead partnerships with external institutions, vendors, and regulatory bodies to advance shared mathematical and technological objectives.","Competency framework governance — define and continuously update the standards, tools, and training pathways that shape mathematical science practice across the organization.","Risk and quality assurance leadership — establish enterprise-level validation protocols, intellectual integrity standards, and audit mechanisms for all computational and analytical outputs.","Strategic communication — represent the organization's mathematical science capabilities to external stakeholders, policymakers, and professional bodies, shaping industry-wide standards and expectations."]}}},"sources":{"onet":"v30.2 (CC BY 4.0)","crosswalk":"https://skillscrosswalk.com","generator":"LER.me"},"attribution":"© EBSCOed"}