> Markdown version of [/jobs/ext/3619534-data-scientist](https://www.wearedevelopers.com/jobs/ext/3619534-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** TRINZIC CORP - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Salary:** $161,200.0 - $221,600.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Systems Engineering, Microsoft Azure, Big Data, Continuous Integration, Apache Hadoop, Monitoring of Systems, Python (Programming Language), Microsoft Office, Natural Language Processing, Recommender Systems, Tensorflow, Software Engineering, SQL Databases, Systems Integration, Unstructured Data, Enterprise Data Management, Google Cloud, Pytorch, Apache Spark, Deep Learning, Containerization, Scikit Learn, Information Technology, Machine Learning Operations, Software Coding, Software Version Control - **Published:** October 8, 2026 - **Apply:** https://dejobs.org/x/x/8848BE4F00FE4631AE5EFE36D360C1FD/job/ ## About the Role * Active TS/SCI with Polygraph. * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. * Minimum of 10 years of experience in data science or related roles. * Expert-level proficiency in Python or R. * Strong experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). * Deep understanding of statistical modeling, experimental design, and advanced analytics. * Proficiency in SQL and working with large-scale datasets. * Experience building and deploying production-ready models. * Strong software engineering practices (version control, testing, modular coding). * Excellent communication and storytelling skills with data. Desired Qualifications: * Experience with big data technologies (Spark, Hadoop). * Experience working with cloud platforms (AWS, Azure, or Google Cloud). * Knowledge of MLOps tools and practices (CI/CD, model monitoring, containerization). * Experience with deep learning, NLP, recommender systems, or time-series forecasting. Ready to Make a Difference? If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together ## Description KBR is looking for a motivated Data Scientist to join our team and provide Systems Engineer Technical Advisor (SETA) support for the Intelligence Community Customer Ground Enterprise Directorate (GED). GED plays a critical role in enabling the Intelligence Community Customer to plan and execute intelligence-gathering missions, transforming collected data into useful information for the Intelligence Community (IC) and Department of Defense (DoD) users. In this role, you will have the chance to design, develop, test, and deliver products that support our customers' advanced systems. In support of GED Front Office, Chief Architect, Integrated Intelligence Program Office, Advanced Ground Office, and Enterprise Data Applications and Platforms. You'll collaborate with multi-disciplinary teams focused on hardware, software, system integration, and data analysis to help achieve important missions and meet requirements., * Conducts scientific Research and Development towards the tasking, collection, processing, and dissemination of data. * Collects substantial amounts of data using analytical, statistical, and programmable skills. * Analyze data sets to discover actionable patterns and trends for business use. * Uses scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured data. * Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights. * Assess other's R&D proposals for feasibility and progress towards mission goals. * Solve difficult, non-routine problems by applying advanced analytical methodologies and improving analytic methodologies. * Developing custom searches. * Communicating and coordinating with internal and external partners as needed. * Other duties as assigned.