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.

Data Scientist

Key skills