Data Scientist

ECS Tech Inc•Fairfax, VA

4d•$155,000 - $190,000•Onsite

About The Position

Everforth ECS is seeking a Data Scientist to work onsite at its customer office in Springfield, Virginia. The role focuses on transforming raw data into actionable insights that support national security operations, warfighter support, and geospatial intelligence missions. The Data Scientist will architect and deliver production data solutions that help analysts identify patterns, anticipate threats, and provide timely, relevant, and accurate information in support of military and national security objectives. Serving as a technical leader and trusted advisor, the Data Scientist will bridge customer requirements and technical solutions. The role includes designing end-to-end data science architectures and automated pipelines for large volumes of structured and unstructured multi-INT data; applying machine learning, network analytics, and advanced statistical methods; building visualizations and dashboards; and advising on program direction and capability roadmaps. The candidate must have prior ABI tradecraft experience and be able to produce finished products adhering to NGA and DNI standards. The position emphasizes geospatial analytics, multi-INT fusion across GEOINT, SIGINT, OSINT, and other disciplines, scalable Python automation, visual intelligence, and AI/ML applications. It involves direct collaboration with customer stakeholders and other geospatial analysts, data engineers, and intelligence professionals. Salary range: $155,000–$190,000. General benefits information is available at https://ecstech.com/careers/benefits.

Requirements

Must be a U.S. citizen.
Active Top Secret security clearance with SCI and CI Poly eligibility.
Bachelor’s degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics, or an equivalent field; alternatively, a combination of military experience (10+ years), experience, training, or certifications.
At least 5 years of work experience in Data Science, Computer Science, or Computer Engineering.
Proven track record supporting Intelligence Community missions in operational environments.
Senior-level proficiency in Python for data science, automation, analytics pipeline development, and designing mission-ready solutions.
Experience querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
Experience developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
Experience building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
Experience using Git-based version control platforms such as GitLab or GitHub.
Experience architecting solutions for large-scale structured and unstructured datasets.
Experience conducting multi-INT research and analysis to support operational requirements.
Hands-on experience with COTS platforms including Tableau, MATLAB, and MapLarge, and GOTS capabilities for advanced statistical analysis.
Strong SQL skills and experience querying relational databases.
Proficiency with geospatial processing frameworks such as GDAL or ArcPy.
Proficiency with GIS desktop software such as ArcGIS Pro or QGIS.
Ability to operate independently at a senior level with limited oversight.
Proven ability to lead technical teams and mentor data scientists.
Demonstrated experience building, maintaining, and querying complex databases.
Deep understanding of intelligence analysis workflows and how data science enables mission success.
Exceptional communication skills, including translating complex technical concepts for non-technical stakeholders.
Comfort working independently in ambiguous, fast-paced environments.
Previous experience in ABI tradecraft and ability to produce finished products adhering to NGA and DNI standards.

Nice To Haves

Familiarity with USSOCOM and broader U.S. military organizational structures.
Familiarity with common Intelligence Community data repositories.

Responsibilities

Design and implement end-to-end data science architectures for processing multi-INT data streams at scale.
Build automated pipelines that transform large volumes of structured and unstructured data into intelligence products.
Serve as a subject matter expert in advanced analytics and mentor team members while contributing hands-on technically.
Shape program direction and capability roadmaps through technical expertise and recommendations.
Research, prototype, and deploy analytical methodologies, including machine learning, network analytics, and advanced statistical techniques.
Create data visualizations and analytics dashboards that help analysts explore large datasets and identify patterns and relationships.
Work with customer stakeholders to understand intelligence questions and translate them into technical requirements.
Apply geospatial analysis, pattern detection, and predictive modeling to GEOINT datasets.
Integrate and analyze data across GEOINT, SIGINT, OSINT, and other intelligence disciplines.
Develop production-grade Python solutions for large-scale data processing and automation.
Develop interactive dashboards and network analytics to turn complex data into actionable insights.
Implement machine learning models for classification, clustering, anomaly detection, and predictive analytics.
Produce finished products that adhere to NGA and DNI standards.
Write clear, concise technical documentation for software systems and automated workflows.
Identify capability gaps and architect technical solutions.
Lead technical teams and mentor data scientists.