Data Scientist - Workforce Analytics

MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA.

• 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.

• 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.

• 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.

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

• 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.