Data Scientist / Analyst - AI & Policy Insights

• 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., * 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.

• 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 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.