Job Description

ManTech is seeking a motivated, career, and customer-oriented Data Scientist to join our Workforce Analytics team in Springfield, VA .

Responsibilities include but are not limited to:

• Carry out both primary and secondary (e.g., HRIS) data collection and analysis activities, interpretation of data and analytic results, development and vetting of recommendations. Develop reports and presentations and delivering reports and presentations to a variety of audiences, to include senior leaders.

• Utilize and develop queries and reports from HRIS system (PeopleSoft), CAVE, and Cognos using appropriate data science and business intelligence tools (Python, R, SQL, Tableau, Microsoft Office,); and analyze data using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques). 

• Partner with government staff to provide all diversity-related workforce analytics for the agency and to government oversight. 

• Identify, collect, and analyze data; then report on findings with respect to triggers and barriers to equal employment opportunities and an inclusive workplace, the current and historical status of workforce metrics, and employee sentiment (e.g., awareness of and satisfaction with agency programs and policies).

• Display analytic results in text and visually using appropriate data science, business intelligence, and visualization tools (Python, R, SQL, Tableau, Microsoft Office,), and communicate results to audiences at all levels of NGA.

• Support annual, quarterly, and ad hoc internal and external reporting requirements for by preparing and delivering briefings and reports as needed for both technical and non-technical audiences.

• Participate in meetings with government leaders at all levels and other stakeholders related to diversity and inclusion and data topics, as well as participate in Federal Government working groups as directed.

Basic Qualifications:

• 7+ years of experience in the social science or workforce diversity related field.

• Bachelors’ Degree in Operations Research, Mathematics, Statistics, Data Science, Computer Science, or a similar field with quantitative workforce analytics experience or 4 additional years of experience

• 2+ years of experience with Tableau, Python, R, SQL, and/or similar tools

• Experience conducting qualitative and quantitative data analysis using descriptive (e.g., means, percentages) and inferential statistics (e.g., ANOVA, t-test, regression modeling techniques), making data-driven conclusions, and turning the findings into meaningful and or actionable recommendations.

• Experience interacting with senior-level directors and agency heads/senior leadership.

• Experience utilizing both human capital data (e.g., promotion, attrition rates, internal churn) and diversity and inclusion topical areas (e.g., unconscious bias) are required.

• Ability to extract and synthesize complex information to prepare briefings, staff material, read-aheads, presentations, and other material as required with attention to detail.

Preferred Qualifications:

• Subject matter expert in quantitative and qualitative human capital research with advanced degrees in in a quantitative field.

• Proficiency in coding to include SQL

Security Clearance Requirements:

• Active/current TS/SCI with ability to obtain and maintain a polygraph

Physical Requirements:

• Must be able to remain in a stationary position 50% of the time

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