Data Scientist

Accenture Federal Services•Arlington, VA

About The Position

At Accenture Federal Services, our purpose is to help the US federal government make the nation stronger and safer, and improve people's lives. Our 13,000+ people are united by a shared goal: to leverage 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 the global Accenture network. We are recognized as a Glassdoor Top 100 Best Place to Work, offering a collaborative and supportive community where you can feel a sense of belonging and are empowered to grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive positive, lasting change that advances missions and the government forward! As a Data Scientist in this role, you will play a pivotal part in advancing operational AI adoption within a cutting-edge Hub-and-Spoke architecture. You will collaborate closely with multidisciplinary teams to integrate AI solutions into enterprise environments, ensuring robust governance, continuous monitoring, and scalable software delivery. Your work will directly impact the effectiveness of mission applications by leveraging advanced analytics and AI to inform decision-making and optimize operational outcomes.

Requirements

Experience developing and implementing statistical analysis, predictive analytics, and operational analytics solutions to support mission-critical applications.
Experience with geospatial analytics tools, entity resolution techniques, and graph analytics.
Experience with explainable AI methods to enhance transparency, and operational analytics platforms to monitor and improve system performance.
Experience with integrating AI into DevSecOps pipelines, collaborating with cross functional teams.
US Citizen
Active TS/SCI Clearance

Nice To Haves

Experience with Python AI ecosystems, PyTorch, Scikitarn, and LLM frameworks for building and refining models.

Responsibilities

Apply entity resolution, graph analytics, and geospatial analytics tools to extract actionable insights from complex data sets.
Design, build, and deploy explainable AI models using Python AI ecosystems, including Torch, Scikit-learn, and LLM frameworks.
Collaborate with cross-functional teams to integrate AI, DevSecOps, data engineering, platform engineering, and cybersecurity into scalable software delivery pipelines.
Support the adoption of operational AI through a modern Hub-and-Spoke architecture, enabling enterprise AI governance and agentic AI systems.
Contribute to the continuous monitoring and observability of AI-enabled workflows and mission-focused operational intelligence applications.
Work closely with stakeholders to ensure AI solutions align with mission objectives and enterprise requirements.
Participate in the integration and optimization of mission analytics and AI-enabled workflows for enhanced operational intelligence.
Develop and deploy mission-critical analytics, support AI-enabled workflows, and drive predictive and operational intelligence applications.