GEOINT Innovation Data Scientist - TS/SCI required

Leidos; United States; On-site; USD 92,300 - 166,850; Full time

Benefits offered by this job

Health and Wellness programs

Retirement plan

Paid leave

Job summary

Leidos seeks a GEOINT Innovation Data Scientist in Alexandria, VA to advance geospatial capabilities through data science, ML, and NLP. You will work at the intersection of customer mission support and innovative Leidos solutions, applying Python-based development to geospatial challenges.

The role emphasizes turning geospatial data into actionable intelligence, with opportunities to build and deploy AI-enabled analytics and dashboards for diverse stakeholders.

Qualifications

• Geospatial experience with coordinate systems, projections and transformations.
• 5–7 years programming experience in Python for data analysis and automation.
• 3–5 years in data science, including modeling and analytics.
• Experience applying ML/NLP to real-world problems.
• Experience with geospatial data in data science workflows.

Responsibilities

• Provide GEOINT/Data Science expertise to ensure data provision to analytical users.
• Apply ML and NLP to structured and unstructured data; perform statistical analyses.
• Automate data management workflows using Python.
• Convert and organize geospatial and text data for analysis.
• Present results clearly with data visualizations for non-technical audiences.
• Develop tools to extract features from rasters, vectors, text, and databases.

Skills

Python

Geospatial analysis

Machine learning

NLP

PostGIS

ArcGIS

Git

SQL

Education

BA degree

MS degree

Tools

ArcGIS

ArcGIS Pro

PostGIS

PgAdmin

Git

SQL

NoSQL

Job description

Description

The Leidos Geospatial Mission Solutions Portfolio is seeking a GEOINT Innovation Data Scientist to join our team in Alexandria, VA. This is an exciting opportunity to elevate critical national-level missions through innovation, data-driven insight, and advanced analytic solutions. As a GEOINT Innovation Data Scientist, you will help shape the next generation of geospatial capabilities by applying data science to real-world intelligence challenges, with a strong emphasis on machine learning (ML) and natural language processing (NLP) in support of NextGen FMI AI efforts. This position straddles the worlds of direct customer mission support and Leidos-driven innovation, blending hands‑on problem solving with forward-looking solution development.

We're looking for someone who thrives at the intersection of geospatial analysis, Python-based development, and applied machine learning, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes. High-performing geospatial analysts with strong technical coursework or demonstrated experience in Python, machine learning, or NLP are encouraged to apply.

Staffing Requirement

The work requires staff to provide the customer with data science and automation support. Staff will collect, process, and perform data analysis and deliver data-driven solutions to quantitatively improve multiple mission areas. They will design and develop solutions to complex problems using applied statistics, machine learning techniques, and algorithm development, while collaborating with teammates and customers to translate complex findings into mission-relevant insights. Any data management solutions created should take into consideration modernization objectives, including AI-enabled workflows, modernized database applications, and enterprise-level integration.

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-hous[e] 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

Benefits

Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

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.