DATA SCIENTIST

Full Job Description

The primary purpose of this position is to serve as Data Scientist, in support of the Information Technology (XT) directorate located within the Department of Defense Cyber Crime (DC3).

Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information.

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 and the Individual Occupational Requirements (IOR) for the GS-1560 Data Science Series.

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. NOTE: You must submit a copy of your transcripts with your application.

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.

NOTE: You must submit a copy of your transcripts with your application.

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-12, or equivalent in other pay systems.

Examples of specialized experience includes master knowledge of a wide range of related disciplines and principles of data management (data architecture, data modeling, data base administration, data element standards, data security, data integration and data disposition).

In-depth knowledge of database design, conceptual and logical data modeling, data organization structures, structural relationships, and data dictionaries/directories in support of data management.

Knowledge of computer networking concepts and protocols, and network security methodologies.

Extensive knowledge of a wide range of data visualization and analytics principles, concepts, environments, and applications sufficient to assess stakeholder requirements, advise and execute on specific courses of action.

NOTE: You must submit a copy of transcripts with your application.

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-12 level is required to meet the time-in-grade requirements for the GS-13 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 data science techniques and methods used to conceptualize, develop, adapt, modify, and apply new models to resolve difficult problems and to achieve support for alternative solutions within the commercial and government technical community; skill in performing data management activities.

2.

Knowledge of a wide range of data visualization and analytics principles, concepts, environments, and applications sufficient to assess stakeholder requirements, advise and execute on specific courses of action.

3. Knowledge of database design, conceptual and logical data modeling, data organization structures, structural relationships, and data dictionaries/directories in support of data management. 4.

Skill and ability in problem analysis, and overall cognizance of the organization's mission, goals, standards, and methods of operation necessary to introduce new technology and software application enhancements into current and future systems.

5.

Skill and ability to conceptualize policies that facilitate taking advantage of the latest advances in information technologies and management and information concepts to more efficiently and effectively accomplish the mission.

6. Skill and ability to analyze and logically evaluate complex situations and to apply sound reason and judgement in presenting innovation concepts, resolving problems and influencing decisions.

Knowledge of a wide range of methods and techniques used in operation research studies and possession of analytical abilities.

Knowledge of quantitative techniques and methods used to develop, adapt, modify, and apply models to resolve problems or define and clarify alternative solutions.

Ability to participate and lead teams; originate new. 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. Major Duties:

Develops data strategy and policies and directs data management in support of DC3 mission objectives.

Develops and delivers reports, dashboards, visualizations, and analyses to support decision-making processes at all levels, and across all mission areas.

Performs Project Management functions for the Information Technology Architecture Data (XTAD) team.

Represents DC3 at meetings, conferences, briefings, and seminars related to Data Management and Analytics.