Data Scientist - SME

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.

Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

We are seeking a highly experienced Data Scientist Subject Matter Expert (SME) to support mission-critical programs within the Intelligence Community and national security sector. In this role, you will leverage advanced analytics, machine learning, statistical modeling, and Generative AI technologies to transform complex data into actionable intelligence and mission-focused insights.

The ideal candidate is a technical leader with expertise in data science methodologies, predictive analytics, data exploration, and AI-driven solutions. This position requires the ability to analyze large and complex datasets, develop analytical models, and communicate findings that enable informed decision-making at both operational and strategic levels.

The Work:

• Lead the development and implementation of advanced data science, analytics, and machine learning solutions supporting mission objectives.
• Analyze large, structured, and unstructured datasets to identify patterns, trends, anomalies, and actionable insights.
• Develop predictive, classification, forecasting, and optimization models to support mission and business decisions.
• Apply statistical analysis, experimentation, and advanced analytical methodologies to solve complex operational challenges.
• Develop and deploy Generative AI solutions, including Large Language Models (LLMs), prompt engineering, and AI-powered analytics capabilities.
• Design and implement Retrieval-Augmented Generation (RAG) workflows and knowledge-driven analytical solutions.
• Conduct data exploration, cleansing, feature engineering, validation, and model performance assessments.
• Create visualizations, dashboards, reports, and executive briefings to communicate findings to technical and non-technical stakeholders.
• Collaborate with data engineers, software developers, AI engineers, and mission partners to operationalize analytics solutions.
• Ensure compliance with data governance, model governance, Responsible AI principles, and organizational standards.
• Monitor model performance, fairness, explainability, and accuracy throughout the analytics lifecycle.
• Serve as a trusted advisor and subject matter expert for data science and advanced analytics initiatives.

Here is what you'll need:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Operations Research, Economics, or a related quantitative discipline. Additional relevant experience may be considered in lieu of a degree.
• 10+ years of experience in data science, advanced analytics, statistical modeling, or machine learning.
• Demonstrated experience developing and deploying predictive analytics and data-driven solutions in production environments.
• Strong proficiency in Python, R, SQL, and data analysis techniques.
• Experience with statistical analysis, predictive modeling, hypothesis testing, experimentation, and forecasting methodologies.
• Experience working with large and complex datasets from multiple data sources.
• Familiarity with machine…