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# Data Scientist, Senior

- **Company:** Anonymous Employer
- **Location:** Springfield, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Business Analytics Applications, Data Analysis, ArcGIS (Software), ArcGIS Servers, HTML5, Big Data, Business Process Modeling, C++ (Programming Language), Network Analysis, Signals Intelligence, Computer Programming, Databases, Data Mining, Data Visualization, Spatial Databases, Geospatial Intelligence, Human-Computer Interaction, Python (Programming Language), MATLAB, Open Source Intelligence, Oracle (Applications), SQL Databases, Tableau (Software), Unstructured Data, ArcObjects, Data Processing, Data Analytics, Data Management
- **Published:** September 11, 2026
- **Apply:** https://www.clearancejobs.com/jobs/8793315/data-scientist-senior

## About the Role

Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
Experience supporting IC operations
Possess expert level knowledge to manipulate and analyze structured/ unstructured data
Demonstrated experience in data mining and developing/maintaining/manipulating databases
Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
Demonstrated experience using COTS statistical software (Map Large, Tableau, MatLab) for advanced statistical analysis of operational tools and data visualization which enables large datasets to be interrogated and allows for patterns, relationships, and anticipatory behavioral likelihoods that may not be apparent using traditional single discipline means
Knowledge of advanced analytic methodologies, and experience in implementing and executing those methodologies to enable customer satisfaction
Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
Experienced in conducting multi-INT and technology specific research to support mission operations
Possess effective communications skills; capable of providing highly detailed information in an easy-to-understand format
DESIRED QUALIFICATIONS:

Possess Master's degree in Data Science or related technical field
Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

## Description

Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
Lead and participate in the design of solutions and refinement of pre-existing processes
Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
Research and implement optimization models, strategies, and methods to inform data management activities and analysis
Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
Conduct peer reviews to improve quality of workflows, procedures, and methodologies
Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge


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