Data Scientist / Analyst – AI & Policy Insights

Ampcus Inc.•Chantilly, VA

3d•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.