Data Scientist (Intergrated Prevention) (PREV WF)

Summary This is a Direct Hire Authority (DHA) solicitation utilizing the DHA for DoD Prevention Workforce to recruit and appoint qualified candidates to positions in the competitive service. About the Position : Serves as Data Scientist for US Army Integrated Prevention Advisory Group (I-PAG) at Fort Cavazos, Texas. This position primarily exists to integrate, plan, and evaluate primary prevention efforts pertaining to sexual assault, harassment, suicide, domestic abuse, child abuse, and retaliation. Responsibilities Collaborate with prevention partners, such as Sexual Harassment and Assault Response and Prevention Program (SHARP) to examine harmful behaviors in order to conduct routine statistical analysis of command-wide data from primary prevention initiatives Lead process development of routine data collection and analysis of prevention activities. Performs data mining to design dashboards and other information portals. Serve as a Data Scientist for US Army Integrated Prevention Advisory Group (I-PAG) to provide data support to the organization. Formulate data informed recommendations on policy and reporting procedures to ensure program effectiveness, in order to support primary prevention and conditions that promote healthy behaviors. Support the development of proposals and projects that align with primary prevention research and policy goals for data science. Evaluate the organizations primary prevention efforts pertaining to violence trauma such as sexual assault, harassment, suicide, domestic abuse, child abuse, and retaliation. Integrate primary prevention activities to recommend acceptable adaptations for primary prevention activities. Collaborate with experts in the analysis of public health data related to primary prevention initiatives. Analyze complex data elements such as data flows, dependencies, and relationships in order to contribute to conceptual physical and logical data models. Conduct complex studies using advanced data analysis and algorithm development, requiring a high level of technical proficiency to innovate and expand current capabilities. Requirements Conditions of Employment Qualifications Who May Apply : US Citizens In order to qualify, you must meet the education and / or 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 Data Scientist (Integrated Prevention) (PREV WF) : 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. (NOTE : You must submit transcripts.) 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. (NOTE : You must submit transcripts.) In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below : Specialized Experience : One year of specialized experience equivalent to the GS-12 grade level in the Federal service which includes 1) conducting analysis of data from primary prevention initiatives to recommend policy and / or reporting procedure modifications to enhance program effectiveness, managing all aspects of complex integrated prevention programs, 2) developing proposals that align with primary prevention research and / or policy goals for data science, analyzing work operations to meet program requirements with available resources, OR assisting in developing guidance related to primary prevention efforts based on data research findings. Education FOREIGN EDUCATION : If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit : Additional Information Male applicants born after December 31, 1959, must complete a Pre-Employment Certification Statement for Selective Service Registration. You will be required to provide proof of U.S. Citizenship. One year trial / probationary period may be required. Direct Deposit of Pay is required. Selection is subject to restrictions resulting from Department of Defense referral system for displaced employees. If you have retired from federal service and you are interested in employment as a reemployed annuitant, see the information in the Reemployed Annuitant information sheet. This is a Science, Engineering and Analysis Career Field position. Multiple positions may be filled from this announcement. Salary includes applicable locality pay or Local Market Supplement. When you perform a Civilian Permanent Change of Station (PCS) with the government, the Internal Revenue Service (IRS) considers the majority of your entitlements to be taxable. Visit for more information. Payment of Permanent Change of Station (PCS) costs is authorized, subject to the provisions of the Joint Travel Regulations. The following special programs / incentives MAY be offered if it is appropriate to the position being filled and in the best interest of the government : Relocation Incentives, Recruitment Incentives, Advanced Leave Accrual and Advanced In-hire.