Data Scientist

Advent Services-posted 3 months ago
Washington, DC
11-50 employees
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We are seeking a Data Scientist to support reclassification efforts across federal job series. The incumbent will apply advanced data analysis, statistical modeling, and computational techniques to workforce data and position descriptions, ensuring alignment with classification standards and helping inform accurate, data-driven decisions.

  • Collect, clean, and analyze large datasets related to position descriptions, job duties, and workforce information.
  • Use statistical methods, natural language processing (NLP), and machine learning techniques to identify trends, patterns, and commonalities across job roles.
  • Conduct text analytics on position descriptions to map tasks, skills, and responsibilities to appropriate job series and grade levels.
  • Collaborate with human resources professionals, subject matter experts, and leadership to validate data-driven findings.
  • Develop dashboards, visualizations, and reports to communicate insights in a clear and actionable manner.
  • Ensure consistency, accuracy, and compliance with federal classification policies and standards.
  • Provide recommendations to leadership on job reclassification and series alignment based on data analysis.
  • Stay current with emerging trends in workforce analytics, HR technology, and data science.
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Human Resources Analytics, or a related field (Master’s preferred).
  • Strong proficiency in programming languages such as Python or R.
  • Experience with natural language processing (NLP), machine learning, and data visualization.
  • Knowledge of SQL and database management.
  • Ability to interpret and present complex data clearly to both technical and non-technical audiences.
  • Strong analytical, problem-solving, and communication skills.
  • Familiarity with federal job classification standards and Office of Personnel Management (OPM) guidance.
  • Experience working with workforce or HR-related data.
  • Knowledge of cloud computing environments and big data tools.
  • Demonstrated ability to work collaboratively with cross-functional teams.
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