GEOINT Innovation Data Scientist - TS/SCI required

Leidos; Alexandria (VA); On-site; USD 92,300 - 166,850; Full time

Job summary

Leidos is seeking a GEOINT Innovation Data Scientist in Alexandria, VA, focused on elevating national-level missions using data-driven insights. This position involves applying data science methods, particularly machine learning and NLP, to tackle real intelligence challenges.

The ideal candidate should have strong programming skills in Python, with experience in geospatial data management, statistical analysis, and machine learning. A commitment to innovation and excellence is essential.

Qualifications

• 5–7 years of programming experience with strong proficiency in Python.
• 3–5 years of experience in data science and analytic workflows.
• Knowledge of APIs and cloud services.

Responsibilities

• Provide GEOINT/Data Science expertise.
• Perform statistical analysis and machine learning modeling.
• Clean and organize geospatial data.

Skills

Geospatial experience

Machine learning

Natural Language Processing

Python programming

Statistical analysis

Education

BA degree or Masters in a relevant field

Tools

QGIS

ArcGIS

PostgreSQL

Git

Job description

Job Summary

The Leidos Geospatial Mission Solutions Portfolio is seeking a GEOINT Innovation Data Scientist to join our team in Alexandria, VA. This role will elevate national-level missions through data-driven insight and advanced analytic solutions, applying data science to real-world intelligence challenges with a focus on machine learning and natural language processing to support NextGen FMI AI efforts. The position combines direct customer mission support and Leidos-driven innovation, blending problem solving with forward-looking solution development.

Primary Responsibilities

• Provide GEOINT/Data Science expertise to assure continuity of data provision to analytical users.
• Statistical analysis, machine learning modeling, and NLP-driven analysis of structured and unstructured data.
• Automating repetitive data management and analytic workflows using Python.
• Clean, convert, migrate, and organize structured and unstructured geospatial and text-based data.
• Perform ad hoc analysis and present results in a clear manner.
• Communicate complex quantitative and ML-driven analysis in a clear, precise, and actionable manner using storytelling/visualization. This may include data visualization of disparate sources via dashboards that can be understood by non-technical audiences.
• Create/deploy/maintain tools to extract features, data, and metadata from a variety of sources, including rasters, vectors, text, and other source databases.
• Write/maintain Python scripts for various environments and software including ArcGIS to improve efficiency of the production process and enable AI/ML workflows.
• Deliver service solutions that integrate best practices to modernize current practices, including AI-enabled and NLP-driven analytics.
• Perform data investigations on complex problems using applied statistics, machine learning, and algorithm development while collaborating with domain experts.
• Ensure new workflows can be integrated seamlessly with modernized database applications and enterprise-level APIs.
• Data visualization of production metrics of in-house created data.

Basic Requirements

• Strong geospatial experience, including hands‑on work with geospatial data, coordinate systems (latitude/longitude, UTM), projections, and data transformations.
• 5 – 7 years of demonstrated programming experience, with strong proficiency in Python for data analysis, automation, and model development.
• 3–5 years of experience in data science, including data collection, processing, exploitation, transformation services, modeling, and analytics.
• Prior experience in customer footprint supporting analytic production.
• Demonstrated experience applying machine learning techniques and/or natural language processing (NLP) to real‑world problems.
• Experience working with geospatial data in data science or analytic workflows.
• Knowledge and experience using version control tools such as Git.
• Knowledge and experience using GIS tools such as QGIS and/or ArcGIS.
• Knowledge and experience using PostgreSQL, PostGIS, PgAdmin.
• Knowledge and experience using APIs.
• Knowledge and experience using applied statistics and building algorithms.
• Ability to present technical findings clearly to non-technical stakeholders.
• Willingness to provide sample code portfolios (e.g., GitHub or similar) demonstrating technical capabilities in Python, data science, ML, or NLP (no proprietary or classified material).
• Requires a BA degree and 4 – 8+ years of prior relevant experience or Masters with 2 – 6+ years of prior relevant experience.

Preferred Requirements

• Experience applying machine learning and/or NLP specifically to geospatial or intelligence problems.
• Experience transitioning from geospatial analysis into data science or AI/ML-focused roles.
• Experience in combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photography, and digital data formats.
• Experience performing data analysis to identify trends, anomalies, and opportunities within complex datasets.
• Knowledge of ESRI tools including ArcGIS/ArcPro and Arc Server.
• Knowledge of database systems and architecture.
• Ability writing SQL and NoSQL.
• Understanding of cloud architecture, infrastructure, services (including geospatial-specific microservices), and DevOps.
• Experience working with geospatial data in multi-user enterprise environments.
• Experience analyzing existing production systems and recommending enhancements to enable AI/ML and data science capabilities.

Pay Range

$92,300.00 – $166,850.00

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.