GEOINT Data Scientist — ML/NLP Innovation (TS/SCI)

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

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.