Data Scientist

Position: Data Scientist, GS-13/14

Division: Criminal Justice Information Services

Unit: Programs, Research & Standards

Location: Clarksburg, WV

Working Hours: 8:00AM - 4:30PM

Salary: GS-13: $103,409.00 - $134,435.00

GS-14: $122,198.00 - $158,860.00

Full Performance level: 14

Number of Positions Available: 1

Duration: Full Time/Permanent

Additional selections may be made from this announcement to fill positions within the same division when the position includes substantially the same duties, responsibilities, and qualifications.

Recruitment/Relocation expenses MAY be borne by the FBI. GS-13 (Up to 20%). GS-14 (Up to 25%).

Key Requirements

• Must be a U.S. citizen
• Must be able to obtain a Top Secret clearance

ALL applicants must verify completion of the basic education requirement by submitting a copy of college transcripts by the closing date of the vacancy announcement. (if applicable)

Mission Statement: The mission of the FBI is to protect the American People and uphold the Constitution of the United States.

Major Duties:

GS-13:

• Design and implement data collection strategies and conducts experimental design, including identifying appropriate populations and population sampling strategies.
• Explore data attributes and assesses data quality using statistical software packages to develop recommendations and analytical plans based on business and mission requirements.
• Analyze and interpret complex data by identifying and applying appropriate advanced exploratory and statistical techniques, and validating findings using an iterative approach.
• Provide scientific, statistical, and technical consultation about applicable best practices and new techniques.
• Present key findings and methodologies to partners, stakeholders, and executives.

GS-14 (in addition to the above):

• Facilitate stakeholder engagement sessions to elicit business questions and requirements using a variety of techniques including design thinking and human-centered design.
• Identify opportunities for improving business and mission outcomes through the application of data science and analytics techniques.
• Model complex problem sets to help discover insights and identify opportunities using statistical, algorithmic, and visualization techniques.

Coordinate multifaceted research and analytic activities and develops novel or innovative solutions to complex problems.

Qualifications and Evaluations

Your application will be evaluated and rated under the FBI’s Candidate Rating Procedures. Your resume and supporting documentation will be used to determine whether you meet the job qualifications listed in this announcement and will be compared to your responses to the online assessment questionnaire. High self-assessment in the vacancy questions that is not supported by information in your resume, and/or supporting documents may eliminate you from Most Competitive status.

Your application will then be placed in one of three categories: Most Competitive, Competitive, or Least Competitive. Names of candidates in the Most Competitive category will be sent to the hiring official for employment consideration. Veterans’ preference will be applied.

All applicants will be rated on the following Competencies:

• Advanced Mathematical Reasoning
• Algorithms
• Analytic Thinking
• Data Analysis
• Data Visualization
• Problem Solving/Judgement
• Project Management
• Research (Scientific)

Positive Education Requirement This position has a specific education requirement; all applicants must verify completion of this basic educational requirement by submitting a copy of their college transcripts by the closing date of the vacancy announcement. Please include a cover letter in which you identify specific relevant coursework from your transcript(s) that fulfills the positive education requirement.

A. 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 B. 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.

Education completed in foreign colleges or universities may be used to meet the above requirements provided you can show foreign education is comparable to that received in an accredited educational institution in the United States.

In addition to meeting the educational requirement, applicant must meet the following specialized experience (SE) requirements.

Specialized Experience (SE): Please make sure your specialized experience/requirement(s) can be identified in your resume. Applicants must meet the qualification requirements by the closing date of this announcement.

GS-13: Applicant must possess at least one (1) year of specialized experience equivalent to the GS-12 grade level. SE is defined as follows:

• Using algorithmic and programmatic approaches to clean (i.e., remove defective data), manipulate (i.e., change the data structure or contents), “munge” (i.e., make raw data useable) and sub-set (i.e., shrinking a large database to benefit information storage) data for the purposes of analysis. Developing novel ways to analyze and identify trends and patterns in data using advanced mathematical, statistical, and / or algorithmic techniques.
• Designing scientific procedures to determine the reliability, validity, and statistical confidence of studies and analyses.
• Directing research studies or analytical projects to address a relevant problem, using the scientific method.
• Developing tailored data visualizations to present key findings and methodologies to both technical and non-technical audiences.
• Using PostgreSQL and/or Microsoft SQL database systems.

GS-14: In addition to the above, Applicant must possess at least one (1) year of specialized experience equivalent to the GS-13 grade level. SE is defined as follows:

• Designing and implementing data collection strategies through experimental design.
• Developing novel algorithmic and programmatic approaches to (i.e., remove defective data), manipulate (i.e., change the data structure or contents), “munge” (i.e., make raw data useable) and sub-set (i.e., shrinking a large database to benefit information storage) data for the purposes of analysis.
• Directing multi-faceted, multi-disciplinary, and multi-team research studies or analytical projects requiring the use of the scientific method and advanced data science techniques to address a relevant problem, using the scientific method.
• Serving as a technical and scientific consultant and as a subject matter expert to executive leadership and line-level managers as appropriate and requested.
• Developing tailored data visualizations and tables to present key findings and methodologies to executive and managerial audiences.

How to Apply

For detailed instructions related to applying, uploading documents, withdrawing an application or updating your application, please review instructions on