Summary Data Scientists translate complex national defense and intelligence questions and business problems into actionable insights using advanced mathematical, statistical, and scientific techniques. They develop and apply methods (e.g., probabilistic modeling, artificial intelligence/machine learning (AI/ML), computer vision (CV)) to identify, collect, process, and analyze large volumes of data to info Duties ADDITIONAL INFORMATION: This position may offer a recruitment incentive, subject to eligibility, and candidates must sign a service agreement requiring prorated repayment if the agreement is terminated before completion. Qualifications MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement: Demonstrated experience analyzing data sets or applying data analytic tools to satisfy customer and/or mission requirements Demonstrated experience utilizing structured or unstructured data for exploratory data analysis, classification, regression and/or other types of statistical analysis. Demonstrated experience analyzing data sets or applying data analytic tools to satisfy customer and/or mission requirements. Demonstrated experience utilizing structured or unstructured data for exploratory data analysis, classification, regression and/or other types of statistical analysis. Familiarity with cleaning, filtering, transforming, and/or enriching data. Knowledge of one or more visualization techniques and/or software tools (i.e., Tableau, matplotlib, etc.) EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Mathematics, Data Science, Statistics, Computer Science, Geographic Information Science, Information Science, Informatics and Computing, or a related field that provided at least 6 semester hours in statistics and 9 additional semester hours in scientific or technical coursework such as engineering, medicine, physical, biological, or social sciences. Statistics semester hours should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing. -OR- B. Combination of Education and Experience: A minimum of 30 semester hours (45 quarter hours) of courses equivalent to a major field of study in any area listed in Option A plus experience that included programming for data science (e.g., Python, R) and a full range of professional statistical work such as: (a) intermediate and/or advanced statistics, (b) linear, semi-linear, and/or non-linear models, (c) working with a range of data types and statistical methods, or (d) data visualization capabilities. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: Demonstrated experience communicating technical information verbally or in writing. Knowledge of how to analyze big data sets. Rudimentary experience of SQL, Python, R, Java or another programming language.