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The Data Scientist will create and deliver analytic processes and data solutions while coordinating with clients to address data-related issues. Responsibilities include designing data architecture, building ETL pipelines, integrating APIs, conducting impact analysis, and preprocessing geospatial data.

Manage, structure, and optimize geospatial and enterprise data to support GEOINT operations. Design and normalize RDBMS schemas, maintain enterprise geodatabases (SDE), enforce metadata and extraction standards, and collaborate with analysts and engineers to improve data workflows, governance, and usability across analytic environments.

Develop and prototype cloud-native data science and machine-learning solutions for behavioral, geo-temporal, social, and content analysis. Build scalable processing pipelines, integrate distributed storage and databases, perform requirements analysis, and advance machine learning research for operational mission problems in a multi-tenant environment.

Join a Chantilly, VA on-site team to develop middleware and backend services. You'll build and optimize Solr/Elasticsearch search infrastructure, work in big data environments (Hadoop/PySpark/Spark/HBase), deliver production-quality Java backend code, and participate in code reviews and testing. Active TS/SCI with Polygraph required.

On-site Data Scientist supporting NLP-focused analysis for senior leaders. Clean and preprocess structured and unstructured data, design ETL and SQL queries, develop and evaluate ML and deep learning NLP models (including encoder-decoder and generative models), produce reports/visualizations, and provide subject-matter expertise and technical education to stakeholders.

Maintain DevOps and development environments for secure, on-prem and AWS systems. Build and deploy custom container images, Kubernetes deployments, and GitLab CI/CD pipelines; automate builds with scripting, troubleshoot issues, and support production and pilot programs.

Develop and prototype compliance and business-processing analytics and tools. Automate compliance functions, integrate and test ML/AI algorithms and proofs-of-concept, build models, implement metrics and monitoring, and document system designs in an agency environment requiring active TS/SCI+Poly clearance.

Design, build, and maintain automated CI/CD/DevSecOps pipelines for cloud and on-prem microservices. Automate integration, deployment, scaling, monitoring, and security scans. Troubleshoot infrastructure and deployments, implement security controls for Federal/DoD systems, and collaborate with development and product teams to optimize delivery and compliance.

Join a fast-paced team building and operating self-hosted private cloud and HPC systems for a Special Operations customer. Design and maintain DevOps pipelines, IaC, container orchestration (Nomad, Kubernetes), CI/CD (GitLab/Jenkins), monitoring, and security automation. Deploy and troubleshoot applications across private clouds, manage PKI, perform cybersecurity remediation, and integrate security scanning into pipelines to ensure reliable, scalable mission systems.

The Software Engineer will develop and maintain complex software systems, lead teams, analyze requirements, and ensure adherence to software processes and quality standards.