Address
Form of workThe primary purpose of this position is to serve as a recognized expert performing professional and scientific work requiring the design, development, execution, and adaptation of model-based and datacentric experimentation; with outcomes evaluated using mathematical, statistical, econometric, and other quantitative methods and techniques.
Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information.Qualifications: 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:
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 advanced knowledge of 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; Professional knowledge and mastery of a broad range of data analyses, mathematics, statistical analysis, descriptive and computational modeling/simulation, and/or other digital scientific technologies, standards, methods, techniques, practices, and procedures to represent real-world environments using complex and potentially inter-related variables; 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; 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 possibly transition to cloud-based data solutions.
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:
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.Education: IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: FULL_TIME
Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information.Qualifications: 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:
Education: Degree in 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 (Data Science Series 1560 (opm.gov)).
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 advanced knowledge of 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; Professional knowledge and mastery of a broad range of data analyses, mathematics, statistical analysis, descriptive and computational modeling/simulation, and/or other digital scientific technologies, standards, methods, techniques, practices, and procedures to represent real-world environments using complex and potentially inter-related variables; 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; 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 possibly transition to cloud-based data solutions.
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:
- Expert professional knowledge of empirical research practices, quantitative analysis methods, and operations research techniques used to conceptualize, develop, adapt, modify, and apply descriptive and computational models that explore difficult problems and investigate alternative solutions in support of the systems engineering and PPB&E community.
- Advanced knowledge and skill in a broad range of defense department or industry standard technologies and methods related to digital systems modelling, data science applications, data analytics tools, machine learning, AI, and cognitive science programs. Experience and knowledge in analyzing of Air Force strategies, operations, tactics, resource and information processes, force structures, and weapons systems. Includes systems engineering and operations research principles and mastery of scientific and analytical capabilities.
- Mastery of skill necessary to develop and utilize appropriate data modelling, data collection, data engineering, and databasing techniques, as well as skills to design, build / use algorithms, models, and simulation techniques that enable inferential statistics, predictive analytics, and visualization of compiled data.
- Skill in leading advanced study teams composed of industry, government, and academic experts; originate new ideas, projects, and methodologies; and execute projects and/or studies within established financial and/or time constraints.
- Advanced 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 executive support for new concepts.
- Ability to plan, organize, direct, and lead the functions of staff and/or study teams tasked to originate new ideas, projects, and methodologies. Communicates in a way to negotiate complex and/or sensitive issues and maintain good working relations.
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.Education: IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: FULL_TIME
