Senior Data Scientist - Geospatial Intelligence & ML

Leidos; Englewood (CO); On-site; USD 131,000 - 237,000; Full time

Job summary

Leidos is seeking a Data Scientist SME to transform massive geospatial datasets into actionable intelligence for the GEOINT mission. You will lead the development of machine-learning models, work with satellite imagery, sensor data, and geospatial databases, and guide a high-performing Agile team to deliver next-generation capabilities.

You will apply advanced analytics, cloud platforms, and spatial analysis to drive mission outcomes, mentor junior staff, and communicate results to senior

Qualifications

• US citizenship is required.
• 10+ years of professional experience in data science.
• 5+ years of experience with GEOINT or geospatial data analysis.
• Expert proficiency in Python and data science libraries.

Responsibilities

• Serve as technical SME in data science and geospatial analytics.
• Lead design and development of ML models for large geospatial datasets.
• Apply GEOINT knowledge to improve data-driven decision making.
• Mentor junior data scientists and analysts.
• Oversee deployment and operationalization of models.

Skills

Data science

Geospatial analytics

Python

Big data

Machine learning

Geospatial tools

Cloud platforms

Spatial analysis

GIS/ArcGIS

Tableau/PowerBI

Education

Bachelor's degree in Data Science

Master's degree in related field

Tools

GeoTIFF

Shapefiles

GeoPandas

Rasterio

GDAL

Spark

PySpark

AWS

Azure

Job description

Leidos is seeking a Data Scientist SME to transform massive geospatial datasets into actionable intelligence for the GEOINT mission. You will lead the development of machine-learning models, work with satellite imagery, sensor data, and geospatial databases, and guide a high-performing Agile team to deliver next-generation capabilities.

You will apply advanced analytics, cloud platforms, and spatial analysis to drive mission outcomes, mentor junior staff, and communicate results to senior