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# Data Scientist

- **Company:** Accenture
- **Location:** Alexandria, VA, United States
- **Salary:** $116,900.0 - $243,100.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cyber Security, Information Engineering, Python (Programming Language), Pytorch, Delivery Pipeline, Scikit Learn, GPT, Devsecops
- **Published:** May 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7c0289183aae8448

## About the Role

Do you have experience in Statistics?, * 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

Nice to have:

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

Eligibility requirements:

 * US Citizen
 * Active TS/SCI Clearance

## Description

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., * 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, includingTorch, 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.
 * Developing and deploying mission-critical analytics, supporting AI-enabled workflows, and driving predictive and operational intelligence applications
 * 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


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