Federal Workforce Data Scientist - NLP, ML & Classification

adventservices; Washington (District of Columbia); On-site; USD 110,000 - 160,000; Full time

Job summary

Adventservices in Washington, DC is seeking a Data Scientist to support reclassification efforts across federal job series. The role involves applying advanced data analysis, NLP, and machine learning to workforce data and position descriptions to align with classification standards.

The ideal candidate holds a bachelor's in a relevant field (master's preferred), is proficient in Python or R, and can present complex results to technical and non-technical audiences.

Qualifications

• Bachelor’s degree or higher in a relevant field with Master’s preferred.
• Strong programming skills in Python or R.
• Experience with NLP, ML, and data visualization.
• Knowledge of SQL and database management.
• Ability to interpret and present complex data clearly to diverse audiences.
• Strong analytical, problem‑solving, and communication skills.

Responsibilities

• Collect, clean, and analyze large datasets related to position descriptions, job duties, and workforce information.
• Apply statistical methods, NLP, and ML techniques to identify trends and patterns across job roles.
• Conduct text analytics to map tasks, skills, and responsibilities to job series and grades.
• Collaborate with HR professionals and leadership to validate data‑driven findings.
• Develop dashboards, visualizations, and reports to communicate insights clearly.
• Ensure consistency, accuracy, and compliance with federal classification policies.
• Provide recommendations on job reclassification and series alignment based on data analysis.
• Stay current with trends in workforce analytics and HR technology.

Skills

Python

R

NLP

Data visualization

Analytical thinking

Communication

Education

Bachelor’s degree in Data Science, Statistics, Computer Science, or related field

Master’s preferred

Tools

SQL

Database management

Cloud computing

Big data tools

Job description

Position Title: Data Scientist

Position Overview: 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.

Required Qualifications:
• 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.

Key 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.

Desired 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.
Impact: This position plays a key role in ensuring federal positions are accurately classified, improving workforce alignment, and enabling data-driven decision-making to support organizational goals.