MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA. The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties. Responsibilities include but are not limited to: Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders. Utilizing and developing queries from HRIS systems and Business Intelligence tools such as Python, R, SQL, and Tableau. Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting. Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment. Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization. Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material. Participating in internal and external working groups and meetings related to workforce demographic data topics and project management.

Minimum Qualifications:

Bachelor's Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field. 7+ years of progressively responsible experience in social science or workforce analytics-related fields. Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling. Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail. Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL. Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.

Preferred Qualifications:

Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field. Advanced proficiency in coding, specifically including SQL for database management. Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change.

Clearance Requirements:

An active TS/SCI with the ability to obtain and maintain a Polygraph.

Physical Requirements:

Must be able to remain in a stationary position 50%. Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.