SUPERVISORY DATA SCIENTIST

Summary DCSA's Industrial Security is looking for a Supervisory Data Scientist to serve as leader facilitating the evolution and operation of DCSA's Artificial Intelligence (AI) and Data Architectures. This job requires the ability to promote team building, lead AI related projects, conduct data analysis, and coordinating with internal and external partners while complying with federal policy regulations to meet customer's needs. Interested? Consider DCSA and be part of America's Gatekeeper Team! Responsibilities As a SUPERVISORY DATA SCIENTIST you will be responsible for the following duties: - Performs professional work in computer science, that may include data science, intelligence, artificial intelligence/machine learning (AI/ML), system analysis, risk analysis, predictive analysis and computer simulation. - Leads, analyzes, interprets and correlates qualitative and quantitative data providing technical, scientific insight and advice in support of efforts of military, civilian and contractor personnel to achieve DCSA objectives on a wide variety of efforts. - Applies analytic methods such as regression, decision tree and statistical probability to improve data reliability and quality. - Leads implementation strategies for system development and analysis, operational logistics, project funding/budgeting, project cost, schedule and performance management. - Directs and coordinates data mining, analysis, modeling, development of mathematical algorithms and computer program design with government agencies and/or coalition partners. Requirements Conditions of Employment Qualifications In accordance with DoDD 8140.01/DoDI 8140.02, the position compliance requirement details are outlined in the Defense Cyber Workforce Annex (attached). Any Information Technology/Security certifications / education specified in the DCWF Annex as defined by DoD 8140-M within six months of appointment date. The incumbent must sign a Statement of Understanding regarding the certification requirements and maintaining the appropriate certification is a condition of employment. This position has a Basic Requirement for the 1560:*NOTE: Failure to provide transcripts will result in you being rated ineligible for this position. The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. In accordance with the Individual Occupational Requirements for this series, Data Science Series 1560 (opm.gov) to qualify for this position you must possess one of the following basic requirement by 11/04/2024 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 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. Applicant must have directly applicable experience that demonstrates the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position. Generally, this would include one year or more of such specialized experience. Specialized experience for this position includes: Expert knowledge in providing supervision and oversight of Information Technology projects, the development of systems and software as well as facilitating the evolution and operation of DCSA's Enterprise Artificial Intelligence (AI) and Data Architectures. Specifically you will be evaluated on the following competencies: 1. Analyze data sources to provide actionable recommendations. 2. Knowledge of statistical/machine learning algorithms. 3. Skill in designing the best approach and architecture for automated data labeling and data life-cycle. 4. Skill in Regression Analysis (e.g., Hierarchical Stepwise, Generalized Linear Model, Ordinary Least Squares, Tree-Based Methods, Logistic). 5. Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists. Education Foreign Education: For further information, click on the following link: Additional Information VETERANS PREFERENCE/CURRENT OR FORMER FEDERAL In accordance with DoD Instruction 1400.25, Volume 2005, veterans preference is not required to be applied when considering candidates with prior Federal competitive or excepted service who have completed a probationary or trial period and have not been separated for cause. Therefore, veterans preference will not be applied to applicants with current federal service, or former federal civilian service meeting the above criteria. Other Notes: Re-employed Annuitant: This position does not meet criteria for re-employed annuitant. The DoD criteria for hiring Re-employed Annuitants can be found at: Applicants selected from this announcement may be required to serve a two-year trial period. If selected, Federal employees currently serving in the competitive service must acknowledge that they will voluntarily leave the competitive service by accepting an offer of employment for a DCIPS excepted service positions. If selected, non-DCIPS candidates must acknowledge in writing that the position they have been selected for is in the excepted service and covered by DCIPS. Selection under this appointment authority does not confer civil service competitive status. All current and former Federal employees must submit a copy of your latest SF50 (Notification of Personnel Action) showing your tenure, grade and step, and type of position occupied (i.e., Excepted or Competitive); or similar Notification of Personnel Action documentation, i.e., Transcript of Service, Form 1150, etc. Resumes should NOT include: Classified information/SSN/Photo of yourself/personal information (gender, religion, affiliation etc/Encrypted digitally signed docs). Resumes with this prohibited information will be automatically ineligible for consideration.

Created: 2024-11-05