GEOINT Data Scientist SME — AI/ML Lead

Leidos; Alexandria (VA); On-site; USD 131,000 - 237,000; Full time

Job summary

Leidos is seeking a Data Scientist SME to lead advanced data science and geospatial analytics for the GEOINT mission. You will design and deploy ML/AI models on large multi-source datasets, applying deep GEOINT expertise to improve decision-making.

You will mentor junior staff and collaborate across engineers, analysts, and program managers to deliver scalable, actionable insights. You will work in a fast-paced, agile environment, applying state-of-the-art techniques in machine learning, remote

Qualifications

• US citizenship required by contract.
• 10+ years in data science.
• 5+ years GEOINT/geospatial data analysis.
• Proven experience building ML/AI models for geospatial data.
• Proficiency in Python and data science libraries (Pandas/NumPy/SciPy/Scikit-learn/TensorFlow/PyTorch).
• Experience with big data tools (Spark/Hadoop, cloud platforms).
• Familiarity with geospatial formats (GeoTIFF/Shapefiles) and spatial libs (GeoPandas/Rasterio/GDAL).
• Leadership and collaboration with senior stakeholders.

Responsibilities

• Serve as technical SME in data science and geospatial analytics for GEOINT mission.
• Lead design and deployment of ML models on large multi-source datasets.
• Apply GEOINT knowledge to develop solutions for data-driven decisions.
• Recommend new technologies to improve workflows and outcomes.
• Mentor junior data scientists and analysts.
• Collaborate with engineers, analysts, and program managers.

Skills

Data science leadership

Geospatial analytics

Machine learning

Python programming

Big data processing

Data visualization

Education

Bachelor's degree in Data Science/CS/Geospatial

Master’s degree in related field

Doctorate in technical domain

Tools

Pandas

NumPy

SciPy

Scikit-learn

TensorFlow

PyTorch

GeoPandas

Rasterio

GDAL

ArcGIS

Spark

AWS/Azure cloud

Job description

Leidos is seeking a Data Scientist SME to lead advanced data science and geospatial analytics for the GEOINT mission. You will design and deploy ML/AI models on large multi-source datasets, applying deep GEOINT expertise to improve decision-making.

You will mentor junior staff and collaborate across engineers, analysts, and program managers to deliver scalable, actionable insights. You will work in a fast-paced, agile environment, applying state-of-the-art techniques in machine learning, remote