The workAs 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.
Key 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, 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
Here's what you need:- 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
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of
California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$116,900-$243,100 USD
