Data Scientist / Analyst - AI & Policy Insights

Ampcus Inc; Chantilly (VA); On-site; USD 90,000 - 120,000; Full time

Job summary

A global consulting firm in Chantilly, VA is looking for a skilled Data Scientist / Analyst to support data-driven insights for a federal agency. The candidate must analyze complex data, develop predictive models, and create visualizations. Essential skills include Python, SQL, and machine learning experience. The role offers a chance to enhance policy analysis with AI technologies.

Qualifications

• 5 years of experience in data analysis, statistical modeling, or machine learning.
• Experience with GenAI platforms and evaluating LLM outputs.
• Strong understanding of data governance, privacy, and compliance in federal environments.

Responsibilities

• Analyze structured and unstructured data to uncover trends and insights.
• Develop predictive models and collaborate with AI engineers.
• Create dashboards and reports to communicate findings.

Skills

Data analysis

Statistical modeling

Machine learning

Python

SQL

Data visualization

Education

Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, or a related field

Tools

Tableau

Power BI

AWS

Azure

GCP

Job description

Overview

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Position Summary

Job Title: Data Scientist / Analyst – AI & Policy Insights
Location: Chantilly, VA

• We are seeking an experienced, detail-oriented and analytically-driven Data Scientist/Analyst to support the development and application of data-driven insights for a leading independent federal agency focused on financial system stability.
• This role will contribute to the design, evaluation, and deployment of AI-powered analytics—including Agentic AI, Generative AI (GenAI), and traditional machine learning to enhance decision-making, policy analysis, and operational efficiency.
• The ideal candidate will combine strong statistical and data engineering skills with a deep understanding of how to translate complex data into actionable intelligence.

Key Responsibilities

• Data Analysis & Modeling
  • Analyze structured and unstructured data to uncover trends, patterns, and insights relevant to financial policy and operations.
  • Develop predictive models, classification systems, and clustering algorithms using traditional ML techniques.
  • Collaborate with AI engineers to evaluate and refine GenAI and Agentic AI outputs for accuracy, relevance, and bias.
• AI-Enhanced Analytics
  • Leverage GenAI tools for document summarization, sentiment analysis, and natural language querying.
  • Support the design and evaluation of Agentic AI systems that autonomously generate insights or perform analytical tasks.
  • Apply retrieval-augmented generation (RAG) and other hybrid approaches to enhance data accessibility and usability.
• Data Engineering & Preparation
  • Clean, transform, and prepare data for modeling and visualization using Python, SQL, and data wrangling tools.
  • Work with cloud-based data platforms and pipelines to ensure scalable and secure data access.
  • Collaborate with platform teams to ensure data governance, lineage, and compliance with federal standards.
• Reporting & Visualization
  • Create dashboards, reports, and visualizations to communicate findings to technical and non-technical stakeholders.
  • Translate complex analytical results into clear, actionable recommendations for leadership and policy teams.
  • Support the development of performance metrics and evaluation frameworks for AI systems.
• Collaboration & Support
  • Partner with economists, policy analysts, and technical teams to co-develop data products and decision support tools.
  • Contribute to cross-functional sprint planning, documentation, and knowledge sharing.
  • Participate in workshops and forums to promote data literacy and responsible AI use.

Preferred Skills

• Experience in public sector or regulated environments.
• Knowledge of financial systems, economic indicators, or policy analysis.
• Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and AI/MLOps tools.

Education

• Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related field.

Experience

• 5 years of experience in data analysis, statistical modeling, or machine learning.
• Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).
• Experience working with GenAI platforms and evaluating LLM outputs.
• Familiarity with Agentic AI systems and autonomous analytics workflows.
• Experience with NLP, time series analysis, and model explainability techniques.
• Strong understanding of data governance, privacy, and compliance in federal environments.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.