Data Scientist
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Job Description
Data Scientist applying statistical modeling and computational techniques for federal job series reclassification. Collaborating with HR to inform data-driven decisions in workforce analytics.
Responsibilities:
- 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.
Requirements:
- 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.
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