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Data Scientist (AI/ML)
155 000 - 180 000$
Описание вакансии
Текст:
TL;DR
Data Scientist (AI/ML): Architecting production data science solutions for multi-INT and GEOINT intelligence operations with an accent on geospatial analytics, machine learning, automation, and interactive visual intelligence. Focus on building large-scale Python pipelines, fusing structured and unstructured intelligence data, and delivering analytics products that meet NGA and DNI standards.
Location: Onsite at a customer office in Springfield, Virginia, United States
Salary: $155,000–$180,000 per year
Company
Federal provides technology solutions in data and AI, cybersecurity, and enterprise transformation for defense, intelligence, and federal civilian agencies.
What you will do
- Design and implement end-to-end data science architectures for large-scale structured and unstructured multi-INT data.
- Build production-grade Python pipelines that transform high-volume data into intelligence products.
- Apply machine learning, network analytics, statistical methods, and geospatial analysis to intelligence problems.
- Create interactive visualizations, dashboards, and analytic interfaces for exploring complex datasets.
- Partner with customer stakeholders to translate intelligence questions into technical requirements and solutions.
- Lead technical direction, mentor data scientists, and contribute to capability roadmaps.
Requirements
- Must be a U.S. citizen and hold an active Top Secret security clearance with SCI and CI Poly eligibility.
- Bachelor’s degree in data science, mathematics, statistics, computer science, engineering, economics, or a related field; equivalent military experience, training, or certifications may be accepted.
- At least 5 years of experience in data science, computer science, or computer engineering, including Intelligence Community operational missions.
- Senior-level Python, SQL, database, API integration, data pipeline, and large-scale data architecture experience.
- Experience with data visualization and dashboard tools such as Plotly, Seaborn, Matplotlib, Bokeh, Dash, Streamlit, Panel, or Tableau.
- Experience with geospatial processing and GIS tools, including GDAL, ArcPy, ArcGIS Pro, or QGIS, plus knowledge of intelligence analysis workflows.
Nice to have
- Production AI/ML deployment and advanced geospatial programming experience.
- Full-stack development experience with JavaScript, HTML5, .NET, C++, or Java.
- Experience with Oracle, PostgreSQL, MATLAB, MapLarge, ArcGIS Enterprise, ArcGIS Server, or geodatabases.
- Background building GEOINT, SIGINT, or OSINT databases for operational analysis.
Culture & Benefits
- Work supports real-world intelligence operations, military missions, and national security objectives.
- Technical leaders have autonomy to select tools, frameworks, and architectural approaches.
- Work alongside geospatial analysts, data engineers, and intelligence professionals.
- Access to the company’s general benefits program.