Data Scientist - Workforce Analytics

MANTECH

Springfield (VA)

On-site

USD 80,000 - 120,000

Full time

14 days+

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Job summary

MANTECH is looking for a Workforce Analytics/Data Scientist in Springfield, VA. This role involves analyzing workforce metrics, supporting reports, and delivering insights to stakeholders.

The ideal candidate should have a Bachelor’s Degree in a quantitative field, with 7+ years of experience in analytics. Proficiency in software like Python, R, and Tableau is crucial. An active TS/SCI clearance is required for this position, ensuring alignment with sensitive data management.

Qualifications

  • 7+ years of progressively responsible experience in social science or workforce analytics-related fields.
  • Expertise in conducting qualitative and quantitative data analysis.
  • Proficiency in data science and visualization tools.

Responsibilities

  • Conduct primary and secondary data collection and analysis.
  • Utilize and develop queries from HRIS and BI tools.
  • Prepare briefings and strategic staff materials for reporting.

Skills

Data analysis
Statistical analysis
Data visualization
Python
R
SQL
Tableau

Education

Bachelor’s Degree or higher in Operations Research, Mathematics, Statistics, Data Science or related field

Tools

HRIS systems
Business intelligence tools

Job description

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

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.
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