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Data Scientist

Office of the Director of National Intelligence
This job announcement has closed

Summary

The National Counterproliferation and Biosecurity Center (NCBC) leads the Intelligence Community and the interagency to counter and halt the proliferation of weapons of mass destruction, their delivery systems, related technologies, and expertise. The NCBC also serves as the lead for the integration, mission management, and coordination of intelligence activities pertaining to biosecurity and foreign biological threats

Overview

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Hiring complete
Open & closing dates
04/11/2024 to 05/09/2024
This job will close when we have received 100 applications which may be sooner than the closing date. Learn more
Salary
$117,962 to - $153,354 per year
Pay scale & grade
GS 13
Location
few vacancies in the following location:
McLean, VA
Remote job
No
Telework eligible
No
Travel Required
25% or less - You may be expected to travel for this position.
Relocation expenses reimbursed
Yes—You may qualify for reimbursement of relocation expenses in accordance with agency policy.
Appointment type
Permanent
Work schedule
Full-time
Service
Excepted
Promotion potential
None
Job family (Series)
Supervisory status
No
Security clearance
Sensitive Compartmented Information
Drug test
Yes
Announcement number
24-12384683-DNI/NCBC/EMG
Control number
786236600

This job is open to

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Clarification from the agency

Open to current and former Federal employees with competitive or excepted status; and all U.S. Citizens. Former members of the Peace Corps may be considered for ODNI employment only if five full years have elapsed since separation from the Peace Corps.

Duties

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Devise data science programs by identifying strategic methodological issues and areas of focus to support decision making by the most senior policymakers.

Translate complex, technical findings into an easily understood narrative, including through the appropriate and creative use of visualizations and within technical documentation.

Engage with customers to understand changing needs and requirements; determine substantive questions. Offer recommendations for resolution based on quantitative analysis.

Collaborate with IC collectors and analysts to acquire, process, and refine gaps on complex intelligence problems; devise creative all source data collection strategies to fill intelligence gaps; task specific collections resource.

Independently develop the identification of new sources of intelligence and advance quantitative query. Devise quantitative analysis, ensuring all products incorporate multiple lines of inquiry and are fully coordinated with all stakeholders.

Determine approaches and strategies to market statistical and methodological services to new or potential partners or customers.

Compile and review often disparate and inconsistent data to address the most complex intelligence issues or problems for the most senior internal/external customers.

Devise accurate, timely, and sophisticated data analysis in support of the most complex key ODNI, United States national security and foreign policy objectives and to shape Intelligence Community analysis priorities. Conceive complex statistical, mathematical, geospatial modeling, and data mining analysis independently or in partnership with other Data Scientist or Analyst colleagues.

Requirements

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Conditions of employment

  • Must be a U.S. Citizen residing in the United States
  • Appointment is subject to a suitability or fitness determination, as determined by a completed background investigation.
  • Must be able to obtain and maintain a Top Secret security clearance based on an SBI with eligibility for sensitive compartmented information (SCI)
  • Male applicants born after December 31, 1959, must complete a Pre-Employment Certification Statement for Selective Service Registration.
  • A two-year trial period is required for all new permanent appointments to the ODNI.

Qualifications

Mandatory Requirements:

Thorough knowledge of appropriate analytic methods and methodological tools in one or more of the following areas: Applied Mathematics (e.g. probability and statistics, formal modeling, computational social sciences); Computer Programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing); and Visualization (e.g. GIS/geospatial analysis, telemetry analysis).

Thorough knowledge of research designs. Demonstrated ability to develop comprehensive computer software applications, as needed.

Ability to use analytic methods and methodological tools focused on mathematics, computing, and presentation to derive information from structure and unstructured data sources.

Ability to translate complex, technical findings into an easily understood narrative (i.e. tell story with data).

Analytical and critical thinking skills, including superior ability to think strategically.

Ability to apply intellectual curiosity; apply creativity and innovation to go beyond current tools to deliver the best solution to complex problems.

Ability to leverage knowledge of the data science community to identify opportunities to provide data-driven solutions to complex problems.

Experience with data analysis, programming, and visualization.

Excellent communication and customer service skills including the ability to express facts, anticipate substantive questions, and formulate quantitative solutions.

Ability to translate complex, technical findings into an easily understood narrative.

Working knowledge of common program languages and tools (e.g. Python, R, JAVASCRIPT, BOOTSTRAP, ANGULAR, SQL, Tableau).

Qualifications

To qualify for this position, applicants must meet all requirements by the closing date of this announcement.

Bachelor's degree in a quantitative or technical field of study (e.g. Applied Mathematics--probability and statistics, formal modeling, computational social sciences, Computer Programming--programming languages, math/statistics packages, computer science, machine learning, scientific computing, and Visualization (e.g. GIS/geospatial analysis, telemetry analysis).

or

Combination of education and experience: At least 8 years of experience in a quantitative or technical field of study (e.g. Applied Mathematics--probability and statistics, formal modeling, computational social sciences, Computer Programming--programming languages, math/statistics packages, computer science, machine learning, scientific computing, and Visualization (e.g. GIS/geospatial analysis, telemetry analysis).

The overall rating evaluation of qualifications will also include the following competencies:

Ability to Focus on the End Goal

Attention to Detail

Communication (Verbal and Written)

Critical Thinking

Customer Service

Flexibility

Influencing/Negotiating

Interpersonal Effectiveness

Positive Attitude

Problem Solving

Resourcefulness

Think Effectively on Your Feet

Understanding the Problem before Attempting Solutions

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religions; spiritual; community; student; social. Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Note: A full year of work is considered to be 35-40 hours of work per week.

Part-time experience will be credited on the basis of time actually spent in appropriate activities. Applicants wishing to receive credit for such experience must indicate clearly the nature of their duties and responsibilities in each position and the number of hours a week spent in such employment.

In order to qualify for this position, your resume must provide sufficient experience and/or education, knowledge, skills, and abilities to perform the duties of the specific position for which you are being considered. Your resume is the key means we have for evaluating your skills, knowledge, and abilities as they relate to this position. Therefore, we encourage you to be clear and specific when describing your experience. Negotiation and leadership skills, the ability to exert influence and build consensus, and experience in reconciling competing interests.

Desired Requirements:

Experience with all-source strategic or tactical intelligence analysis and familiarity with a wide range of IC data sets.

Experience creating new tools and services.

Education

Bachelor's Degree.

Additional information

Job Interview Travel: Candidates from outside the Washington, D.C., area may be selected for a telephone, teleconference, or in-person interview.

Salary Determination:

The ODNI uses a rank-in-person system in which rank is attached to GS employees on the basis of individual qualifications, experience, and performance.
Individuals whose current GS grade is equivalent to the grade of the advertised position will retain their current grade and step.
Individuals who transfer to the ODNI from a non-GS pay scale will have base pay converted to the appropriate GS grade and step as determined by the Director/ Human Resource Management.

On occasional instances when a current federal civilian employee applies for an ODNI position that is a lower grade than his or her personal grade, the candidate's personal grade will be downgraded to the grade of the advertised ODNI position and pay will be set at the step that is closest to but not less than the employee's current annual base rate of pay, not to exceed the maximum rate (i.e., step 10) of the GS grade to which assigned.

Relocation Expenses: For new ODNI employees, reimbursement for relocation is discretionary based on availability of funds.

Reasonable Accommodations:
The ODNI provides reasonable accommodations to qualified applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please notify the Reasonable Accommodations Officer by classified email at dni_reasonable_accommodation_wma@cia.ic.gov, by unclassified email at DNI_DRA@dni.gov, by telephone at 703-275-3900 or by FAX at 703-275-1217. Your request for reasonable accommodation will be addressed on a case-by-case basis. PLEASE DO NOT SUBMIT YOUR APPLICATION TO THE EEOD EMAIL ADDRESS. THIS EMAIL IS FOR REASONABLE ACCOMMODATION REQUESTS ONLY.

The ODNI is an equal opportunity employer and abides by applicable employment laws and regulations.

How you will be evaluated

You will be evaluated for this job based on how well you meet the qualifications above.

You will be evaluated for this job based on how well you meet the qualifications above.

You must submit the supporting documents listed under the required documents section of this announcement. We will review your resume and supporting documentation to ensure you meet the basic qualification requirements. If you are among the best qualified, you may be referred to the hiring manager for consideration and may be called for an interview. w.

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