Data Scientist (poly required) with Security Clearance

Your Mission The MASY Group is a growing Nunn Perry award-winning government service company providing intelligence analysis, educational services, and operational support to federal agencies like the Department of Defense and Intelligence Community. We offer our team members a competitive salary as well as competitive benefits, such as 5% matching 401k with no vesting period, family leave, and Healthcare/Dependent Care Flexible Spending Accounts -- just to name a few!

Your Responsibilities • Collect, clean, analyze, and interpret data and information for the development and execution of projects at hand • Track and maintain the institution and program data, metrics, and evaluate the quality and reliability of data • Prepare reports, presentations, written documents, and other materials for leadership that effectively and aesthetically communicate results such as findings, trends, patterns, and predictions using relevant data and research • Support, coordinate or promote strategic initiatives and projects • Proficient/Advanced skills in MS Office applications especially in Excel, Access and or/related spreadsheet and database applications Your Qualifications • Bachelor's degree in fields of data science, public policy, economics, sociology, education, business analytics or related social science field from an accredited institution of higher education • At least 2 years of directly comparable experience working with quantitative information and data • Ability to generate and present data insights using statistical software and data visualization tools (e.g., Power BI, Tableau or similar) • Experience with programming language/coding (e.g., Visual Basic, SQL, or similar).

Typically, coding skills are transferrable; VBA (or Python) can be used with Excel and VBA/SQL can work with Access. If one has never done any coding, s/he is less likely to comprehend the concept of using code to manipulate data • TS/SCI with CI Polygraph REQUIRED Desired Qualifications • Master's degree from an accredited institution of higher education • Experience in graphic design • Training in and experience with more advanced statistical techniques