Job Summary

The primary purpose of this position is to serve as the principal data science advisor to the Joint Training, Exercise, and Wargame Directorate (J7), NORAD and USNORTHCOM, guiding the strategy and discovery of cutting-edge data solutions for its most complex and visible initiatives. Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information.

Job Description

In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Professional and Scientific Positions, Data Science Series 1560. BASIC REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. 1560 SERIES IOR LINK: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/ In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: SPECIALIZED EXPERIENCE: Applicants must have at least one (1) year of specialized experience at the next lower grade GS-13, or equivalent in other pay systems. Examples of specialized experience includes professional knowledge and mastery of a broad range of data analyses, mathematics, statistical analysis, modeling/simulation, and/or other scientific concepts, principles, standards, methods, techniques, practices, and procedures to provide data-focused and data-informed inputs to Directorate senior leaders; Professional knowledge and expertise in data modeling, query authoring and performance tuning with an in-depth understanding of data modeling best practices, relational and graph databases to advise on the directorate's needs to advance future capabilities; Knowledge of advanced, analytical, mathematical, or statistical theories, principles, concepts, methods, and techniques to provide expert judgments concerning the validity of assumptions made and the criteria to evaluate alternatives; Expert knowledge and experience working with large and complex data sets and performing extensive analysis of volumes of data and designing and delivering frameworks to facilitate the data development lifecycle and design, implementation integration and maintenance of the pipeline and data warehouse and transitions to cloud-based data solutions; Extensive knowledge and mastery of research techniques and concurrent ability to obtain information concerning subject studies and perform sound analyses; Knowledge of information systems security principles and concepts in order to ensure all data analytics efforts are conducted in accordance with information security best practices; Knowledge and skill in coordinating extensive projects in assigned areas of responsibility. Projects are characterized by high visibility, unusual urgency, or program criticality. FEDERAL TIME-IN-GRADE (TIG) REQUIREMENT FOR GENERAL SCHEDULE (GS) POSITIONS: Merit promotion applicants must meet applicable time-in­-grade requirements to be considered eligible. One year at the GS-13 level is required to meet the time-in-grade requirements for the GS-14 level. TIG applies if you are in a current GS position or held a GS position within the previous 52 weeks. NOTE: Applicants applying as VEOA candidates who are current GS civil service employees or are prior GS civil service employees within the past 52 weeks must also meet time-in-grade requirements. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Knowledge of quantitative techniques and methods used to conceptualize, develop, adapt, modify and apply new models to resolve the most difficult problems and to achieve support for alternative solutions within the scientific community. 2. Knowledge and skill of a broad range of Department of War or private sector C4 systems, data, scientist Big Data analytics, machine learning, AI, cognitive science, programs, operations, strategies, tactics, resource and information processes, and force structure systems. Includes operations research analysis techniques and mastery of scientific and analytical capabilities. 3. Skill in articulating and negotiating very complex and sensitive issues with officials of diverse perspectives and often with different or opposing views. Expert ability to negotiate and defend findings and gain support for new program concepts. 4. Skill to develop and utilize appropriate data collection techniques and design, build and use models and simulation techniques. 5. Ability to identify opportunities for employing data science tools and application to enable operational and strategic planning in direct support of a combatant command level organization's mission and programs. 6. Knowledge of safety, security, personnel management, and EEO regulations, practices, and procedures. 7. Ability to plan, organize, and direct the functions, operations, and staff of a small organization 8. Ability to effectively communicate orally and in writing and establish and maintain effective working relationships with all levels of personnel within the component. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.