Senior Data Scientist (Geospatial AI SME)

Leidos

Alexandria (VA)

On-site

USD 131,000 - 237,000

Full time

10 days ago

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Benefits offered by this job

Health and Wellness programs
Retirement program
Paid Leave

Job summary

Leidos is seeking a Data Scientist SME to lead data science, AI/ML, and analytics efforts for the Chinook Program. You will translate mission needs into actionable analytics, build and deploy advanced models, and collaborate with cross-functional teams to deliver secure, scalable solutions for an IC customer.

The role requires top‑secret/SCI clearance, strong leadership, and hands-on technical engagement across data science, software, and operations.

Qualifications

  • 12+ years demonstrated experience in Data Science or senior technical roles
  • Experience applying statistical analysis and ML/AI to complex problems
  • Geospatial analytics and remote sensing experience preferred

Responsibilities

  • Serve as senior technical authority for data science and AI/ML
  • Lead design, development, validation, and deployment of ML models
  • Analyze complex datasets to identify patterns and insights for mission objectives
  • Develop and operationalize AI/ML capabilities including NLP and predictive modeling
  • Collaborate with engineers to integrate analytics into production CI/CD pipelines
  • Mentor data scientists and review models, code, and documentation
  • Communicate findings and risks to leadership and stakeholders

Skills

Data science
AI/ML
leadership

Education

Bachelor’s degree in Data Science, Computer Science, Geospatial Science or related field
Master’s with 10-13 years of experience

Tools

Python
R
Pandas
NumPy
SciPy
Scikit-learn
TensorFlow
PyTorch
Tableau
PowerBI
GIS/ArcGIS

Job description

Leidos is seeking a Data Scientist SME to lead data science, AI/ML, and analytics efforts for the Chinook Program. You will translate mission needs into actionable analytics, build and deploy advanced models, and collaborate with cross-functional teams to deliver secure, scalable solutions for an IC customer.

The role requires top‑secret/SCI clearance, strong leadership, and hands-on technical engagement across data science, software, and operations.

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