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# Data Scientist (TS/SCI w/ FSP) with Security Clearance

- **Company:** Praescient Analytics
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Computer Programming, Databases, Data Visualization, Database Queries, Github, Python (Programming Language), PostgreSQL, Meta-Data Management, MongoDB, MySQL, NoSQL, NumPy, Tableau (Software), Unstructured Data, Jupyter Notebook, Pandas, Matplotlib, Information Technology, Data Analytics
- **Published:** October 27, 2026
- **Apply:** https://www.adzuna.com/details/5913474481

## About the Role

repositories, and briefing materials. * Support database management, gold-standard dataset creation, data cataloging, and metadata management across diverse domains (socio-political, economic, military). * Conduct ad-hoc analytics and research to augment existing analytical tradecraft and methodologies. Minimum Qualifications: * Education: Bachelor's degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field). * Analytics Experience: Minimum of 5 years of professional experience in data analytics. * Programming: Minimum of 5 years of experience using Python or R with relevant data libraries (e.g., Pandas, NumPy, Matplotlib). * Databases & Querying: Minimum of 5 years of experience with SQL querying and relational/NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). * Visualization & Time-Series: Minimum of 5 years of experience analyzing time-series data and creating data visualizations/dashboards

## Description

Location: Washington Metropolitan Area (WMA) / On-site Sponsor Facility Clearance Level: Top Secret / SCI with Full-Scope Polygraph Job Type: Full-Time About the Role: Praescient Analytics is looking for a Data Scientist to join our team in support of an Intelligence Community agency. You will process, analyze, and visualize complex, large-scale structured and unstructured datasets to deliver actionable intelligence insights and executive dashboards that drive critical customer decision-making. Responsibilities: * Preprocess, analyze, and transform complex structured and unstructured data into clear, actionable analytical findings and executive dashboards. * Apply statistical modeling and data science techniques to identify trends, complex patterns, challenges, and operational opportunities. * Build dynamic, interactive dashboards and data visualizations using Tableau and data science libraries. * Develop reproducible data analytics artifacts using Jupyter Notebooks, GitHub