Senior Geospatial Data Scientist & ML Lead

Leidos Inc

St. Louis (MO)

On-site

USD 131,000 - 237,000

Full time

2 days ago
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Job summary

Leidos is seeking a Data Scientist SME to translate complex geospatial data into actionable intelligence for the Chinook Program. You will lead advanced analytics, ML deployment, and cross‑functional collaboration with engineers, analysts, and program managers to meet mission objectives.

You will guide model development, leverage cloud platforms, and mentor junior staff while ensuring high quality documentation and alignment with national security requirements.

Qualifications

  • US citizenship is required per contract.

Responsibilities

  • Serve as the technical SME in data science and geospatial analytics for GEOINT missions.
  • Lead the design and development of machine learning models for large geospatial datasets.
  • Apply geospatial analytics, remote sensing, and data science to improve decision making.
  • Provide strategic recommendations on new technologies to enhance workflows and outcomes.
  • Mentor junior data scientists and analysts to build mission-relevant expertise.
  • Collaborate with analysts, engineers, and stakeholders to align solutions with mission objectives.
  • Conduct applied research on advanced data science techniques for real-world intelligence problems.
  • Oversee deployment and operation of models to deliver actionable GEOINT insights.
  • Maintain thorough documentation for reproducibility and training.

Skills

Data science
Geospatial analytics
Python
Machine learning
Leadership

Education

Bachelor's in Data Science or related field
Master's with 10–13 years experience

Tools

ArcGIS
GeoPandas
Rasterio
GDAL
Spark
AWS/Azure

Job description

Leidos is seeking a Data Scientist SME to translate complex geospatial data into actionable intelligence for the Chinook Program. You will lead advanced analytics, ML deployment, and cross‑functional collaboration with engineers, analysts, and program managers to meet mission objectives.

You will guide model development, leverage cloud platforms, and mentor junior staff while ensuring high quality documentation and alignment with national security requirements.

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