Data Scientist (3 month opportunity)

Advent Services; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Advent Services seeks a Data Scientist to support federal job series reclassification. You will apply advanced analytics, NLP, and ML to workforce data and position descriptions to align with classification standards.

You will develop dashboards and reports to communicate insights to HR leaders and ensure data-driven recommendations for series alignment, while staying compliant with federal policies and evolving workforce analytics trends.

Qualifications

• Bachelor’s degree required in a related field.
• Master’s degree preferred or advantageous.

Responsibilities

• Collect, clean, and analyze large datasets related to position descriptions, job duties, and workforce information.
• Apply NLP and ML to identify trends across job roles.
• Conduct text analytics to map tasks, skills, and responsibilities to 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 and compliance with federal classification policies.
• Provide recommendations on reclassification and series alignment.
• Stay current with trends in workforce analytics and HR tech.

Skills

Python or R

NLP, ML, data viz

SQL & databases

Data interpretation

Analytical, problem-solving

Education

Bachelor’s degree in Data Science/Stats/CS/HR Analytics

Master’s degree preferred

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.