Database Systems, Applied Statistics Production Process Data Visualization Quantum GIS (QGIS) Coordinate Systems Workflow Management Geospatial Analysis Database Application ArcGIS (GIS Software) Artificial Intelligence Geospatial Intelligence Python For Data Analysis Applied Machine Learning SQL (Programming Language) Cloud Computing Architecture Python (Programming Language) Natural Language Processing (NLP) Applications Of Artificial Intelligence, 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., 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., * 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., Seaborn Teamwork Equities Automation Purchasing Statistics Upskilling TensorFlow Probability Market Data Data Science Cryptography Web Scraping Key Management Data Extraction Ancient History Computer Science Machine Learning Network Analysis Entrepreneurship Data Architecture Unstructured Data Analytical Method Data Visualization Amazon Web Services Predictive Modeling NLTK (NLP Analysis) Time Off Management Security Engineering Relational Databases Signals Intelligence SpaCy (NLP Software) Unsupervised Learning Database Search Engine SQL (Programming Language) Matplotlib (Python Package) Computer Network Operations Hugging Face (NLP Framework) Python (Programming Language) Natural Language Processing (NLP) Application Programming Interface (API), Big Data Equities DevSecOps Leadership Statistics Databricks Mathematics Forecasting Probability Market Data Data Science Deep Learning Data Ingestion Responsible AI Data Governance Computer Vision Ancient History

PostGIS Equities Metadata Dashboard Leadership Automation Innovation PostgreSQL Photography Market Data Data Science Digital Data Data Analysis Investigation Microservices Remote Sensing Version Control Problem Solving Data Management Data Collection Ad Hoc Analysis Law Enforcement Digital Mapping Ancient History Computer Science Algorithm Design, 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., * 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.

GEOINTMISSION, Data Science

Data Analysis Presentations Elasticsearch Self-Motivation Computer Vision Research Design Social Sciences Active Learning Ancient History Customer Service Computer Science Docker (Software) Amazon Web Services Elastic (ELK) Stack User Interface (UI) Software Development Predictive Analytics Technological Change Test Data Generation Quantitative Research Test Execution Engine Intelligence Analysis Information Retrieval Intellectual Curiosity Artificial Intelligence Creative Problem Solving Dynamic Trunking Protocol SQL (Programming Language) Git (Version Control System) Document And Media Exploitation, Computer Science Machine Learning Model Validation Data Engineering Data Architecture Unstructured Data Anomaly Detection Data Exploitation Performance Review Advanced Analytics Operationalization Workflow Management Predictive Modeling Experimental Design Feature Engineering Software Engineering Statistical Modeling Predictive Analytics Scientific Computing Enterprise Analytics Quantitative Research Statistical Inference Distributed Computing Artificial Intelligence Technical Documentation R (Programming Language) Decision Support Systems SQL (Programming Language) Verbal Communication Skills Python (Programming Language) Natural Language Processing (NLP) MLOps (Machine Learning Operations) Time Series Analysis And Forecasting Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

Google IT Automation with Python

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. 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 .

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 - and moving faster than anyone else dares., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .