Supervisory Data Scientist

Major Duties

• Lead a multi-dimensional team of data scientists in the development of new or improved data science methods, techniques, principles, and concepts primarily related to network operations and cyber security.
• Provide leadership and the analytical study direction to Data Scientists, Operations Research Analysts, and Computer Scientists.
• Direct the analytical study efforts for teams engaged in the conduct of data science and cost, economic, and business transformation analyses of current, evolving, or proposed Department of Defense and Army Enterprise Information Systems initiatives.
• Plan the delivery of data science tools of considerable difficulty and complexity, which require the formulation and development of new techniques and methods.
• Represent the command on a variety of liaison, advisory, and consulting assignments with key technical and management personnel on current and emerging data science, operations research, cost/economic analysis, and Big Data transformation.
• Conduct analyses on very large scale, complex, and controversial programs which involve alternative courses of actions which have political and economic sensitivity.
• Assign tasks based on the expertise and capability of work force in planning, evaluating, documenting, and defending the technology program of the Center.
• Assist the Director in managing the implementation of the Command's Data Science Program, with primary focus on identifying where data science can further benefit the command.

Qualifications/ Specialized Experience

This position is in the Supervision/Management Work Category at the Senior Work Level within the CES Occupational Structure. Who May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. United States Citizen Applying to a Cyber Excepted Service (CES) Position Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction 1400.25, Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. In order to qualify, you must meet the education and experience requirements described below. 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; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Supervisory Data Scientist: A. Degree: Bachelor's degree (or higher degree) in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus appropriate experience or additional education. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: To qualify based on your experience, your resume must describe one year specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by leading and developing multi-disciplined data science technical teams providing complex analytical products or services; utilizing modern data science tools, techniques, principles and concepts to formulate and develop new techniques and methods; collaborating with multiple levels of technical and non-technical personnel, including senior leadership, to interpret organizational requirements and translate them into well-defined technical or analytical problem sets; and delivering analytical products to stakeholders and engaging with stakeholders to ensure products satisfy stakeholder requirements.