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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Arena Technical Resources - **Location:** Springfield, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Web Interfaces, Java (Programming Language), JavaScript (Programming Language), .NET Framework, Data Analysis, ArcGIS Servers, ArcSDE, HTML5, Big Data, C++ (Programming Language), Network Analysis, Computer Programming, Databases, Data Mining, Data Visualization, Graphical Data Display Manager, Spatial Databases, Python (Programming Language), MATLAB, Oracle (Applications), SQL Databases, Tableau (Software), ArcObjects, Data Processing, Statistics Packages, Data Management - **Published:** June 18, 2026 - **Apply:** https://www.juju.com/job/00000000g8tki3 ## About the Role Eligibility:Candidate must possess an active TS/SCI clearance and be willing to obtain a CI Polygraph, Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one) - 7 years of experience and a BS degree (substitutions of experience, education, and certifications/training are allowed and will be considered) - Background supporting Intelligence Community operations (either as an analyst or a data scientist to support -INT related missions) - Must be able to script at a Senior Level in python. - Hands-on experience with data mining - Ability to work with large datasets of structured and unstructured data with the ability to create processes to identify analytical discoveries - Must be able to create visualizations for data discoveries and provide them in a way that is easily integrated into daily operations - Proficiency with commercial off-the-shelf (COTS) statistical tools such as MapLarge, Tableau, or MATLAB for data visualization and complex statistical analysis - Ability to identify opportunities for system enhancements and new analytic capabilities - Experience leveraging government-off-the-shelf (GOTS) data processing and analytics tools to modernize methodologies - Understanding of and hands-on experience with advanced analytical methods, and a track record of applying them to meet client needs - Knowledge of multi-INT and specialized technology research methods to support operational needs - Strong communication skills with the ability to clearly explain technical details in an accessible way Preferred Qualifications: - Programming experience with other languages or low/code-no/code pograms - HTML5/JavaScript, SQL, Oracle, ArcObjects,ArcModel Builder, ArcGISDesktop, ArcGIS Server, ArcSDE, ArcIMS, JEMA, Brewlytics, GIScience, or Statistical tools - Experience in programming for web interfaces and geodatabase development using .NET, Python, C++, or Java - Prior experience with maintaining or developing databases - Proficiency in visualizing data through Matrix or Network Analytics, graphical data tools, and creating operational pictures that support assessments and intelligence products ## Description Apply exploratory data analysis (EDA) techniques to extract insights, patterns, and correlations from complex datasets - Create processes around large data sets to identify analytical discoveries - Create visualizations for those discoveries that are easily integrated into daily operations. - Engage with both structured and unstructured datasets in a modeling and analytics context to develop efficient processes for evaluating complex data sources and addressing unique intelligence challenges - Use big data tools to process and interpret diverse datasets, generating meaningful insights -PythonScripting - Lead and contribute to the creation of new solutions, as well as the enhancement of existing ones - Collaborate with stakeholders, product owners, and program managers to break down road map items into actionable tasks, provide time and resource estimates, propose solutions, and assess risk - Integrate math, coding, and analytics to derive actionable insights for decision-makers - Research and apply optimization frameworks and strategies to inform both data management and analytical activities ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [The Resilience of the World Wide Web](https://www.wearedevelopers.com/videos/1281-the-resilience-of-the-world-wide-web) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Building a hypercar from scratch](https://www.wearedevelopers.com/videos/607-building-a-hypercar-from-scratch) - [Can SVG be fast? 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