Data Scientist

Description:

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

Requirements:

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.