Data Scientist, Workforce Analytics
Salary: $100,000 - 140,000 per year
Requirements:
Bachelors Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field. Over 7 years of progressively responsible experience in social science or workforce analytics-related domains. Proficiency in conducting both qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling. Proven ability to extract and synthesize complex information for preparing briefings, read-aheads, and presentations with meticulous attention to detail. Experienced with data science and visualization tools, particularly Tableau, alongside Python, R, or SQL. Knowledge of human capital data pertaining to promotion, attrition rates, and internal churn within an EEO framework.
Responsibilities:
Conducting primary and secondary data gathering and analysis, interpreting analytic results, and formulating vetted recommendations for senior leadership. Developing and utilizing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau. Collaborating with EEO personnel to deliver demographic-focused workforce analytics for organizational oversight and federal reporting. Analyzing workforce metrics and employee sentiment to identify and report on triggers and obstacles to equal employment opportunities. Presenting analytic findings visually and textually to convey complex insights to both technical and non-technical audiences at all organizational levels. Assisting with annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff materials. Engaging in internal and external working groups and meetings concerning workforce demographic data and project management.
Technologies:
Business Intelligence Python SQL Tableau Support
More:
We at MANTECH are seeking a driven and customer-focused Workforce Analytics/Data Scientist to join our team in Springfield, VA. This role is pivotal in supporting the Equal Employment Opportunity (EEO) office by ensuring effective oversight and compliance. You will utilize your subject matter expertise to formulate policies, implement strategic plans, and create tailored training programs while employing data science techniques to safeguard privacy rights and civil liberties. Join us to contribute to meaningful organizational change while enjoying a collaborative team environment and a commitment to professional development.
last updated 31 week of 2026




