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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist I - **Company:** Noblis Inc. - **Location:** Chantilly, VA, United States - **Experience:** Starter - **Salary:** $128,925.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Big Data, Data Governance, Data Visualization, Distributed Systems, Geospatial Intelligence, Python (Programming Language), Machine Learning, Power BI, Software Tools, Tableau (Software), Unstructured Data, Cloud Platform System, Feature Engineering, Matplotlib, Information Technology, Enterprise Integration, Plotly - **Published:** May 29, 2026 - **Apply:** https://www.clearancejobs.com/jobs/8940777/data-scientist-i ## About the Role * Active TS/SCI with CI Polygraph . * US Citizenship is required * Bachelor's degree and 0 years OR Master's degree and 0 years OR Associate's degree and 3 years OR High School/GED with 6 years. * Bachelor's degree in Data Science , Computer Science, Mathematics, Engineering, Statistics, or related field. Alternatively, demonstrate an additional 4 years of related experience per level if no bachelor's degree is held. * Demonstrated experience applying statistical analysis, machine learning, or quantitative modeling to complex datasets. * Proficiency with Python, R, or similar analytic languages. * Experience with data visualization tools (e.g., Tableau, Power BI, Plotly , matplotlib). * Ability to communicate complex technical concepts clearly and concisely. Desired Qualifications * Degree in a quantitative or technical field. * Experience supporting NRO, NGA, or other IC mission partners. * Experience with cloud environments (AWS, C2S, GovCloud) and distributed computing. * Knowledge of mission modeling tools, simulation frameworks, or GEOINT performance metrics. * Background in operations research, optimization, or decision science. ## Description Noblis ESI is seeking a Data Scientist I to provide analytic, technical, and advisory support to our SETA contract in Chantilly VA. T he selected candidate will help advance mission-critical initiatives by applying data science, modeling, and analytic tradecraft to enhance enterprise capabilities, inform senior decision-making, and drive innovation across the Directorate community. Responsibilities * Develop, refine, and operationalize statistical, machine learning, and predictive models to support enterprise Directorate decisions. * Conduct exploratory data analysis (EDA), feature engineering, and data quality assessments across diverse mission datasets. * Build reproducible analytic workflows and pipelines to support enterprise-level assessments and long-term analytic baselines. * Provide analytic insights to customer leadership on system performance, collection strategies, and future architecture planning. * Evaluate system- and enterprise-level tradeoffs using quantitative methods, simulation outputs, and mission modeling tools. * Support enterprise integration activities by translating complex analytic findings into actionable recommendations for senior stakeholders. * Work with structured and unstructured data from multiple NRO and IC sources, ensuring proper handling, transformation, and integration. * Develop dashboards, visualizations, and analytic products that clearly communicate trends, uncertainties, and mission impacts. * Implement best practices for data governance, metadata tagging, and analytic reproducibility. * Partner with government leads, system engineers, modelers, and mission analysts across the organization . * Present analytic results to technical and non-technical audiences, including senior government officials. * Contribute to working groups, tiger teams, and enterprise-level studies supporting customer priorities. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)