Senior Data Scientist

Jobtailor; Colorado; On-site; USD 140,000 - 170,000; Full time

Job summary

Jobtailor is seeking a senior data scientist to apply advanced analytics and machine learning to NGA mission problems in the United States. The role sits at the intersection of data science and geospatial intelligence, turning large datasets into decision-ready insights.

You will collaborate with analysts and mission users to shape analytic capabilities from concept to deployment, lead data science practices in a multi-team Agile environment, and mentor mid-level data scientists while advancing

Qualifications

• Bachelor’s degree in a related field or equivalent experience accepted.
• 8+ years of data science, analytics, or related engineering experience.
• Proficiency in Python or R for data manipulation, modeling, and analysis.
• Experience deploying ML models into production environments.
• Strong SQL skills and experience with large-scale data platforms.
• Experience with data visualization tools and techniques.
• Security Clearance (TS/SCI) with willingness to undergo polygraph.
• Experience with geospatial data and geospatial analytics is desirable.

Responsibilities

• Apply advanced analytics and ML to NGA mission problems.
• Translate large, complex datasets into decision advantage.
• Collaborate with analysts and mission users from concept to deployment.
• Lead data science practices within an Agile delivery environment.
• Design, develop, and deploy analytic models for large-scale datasets.
• Build and automate data processing pipelines for collection, cleaning, transformation, and enrichment.
• Develop visualizations and analytic products for technical and non-technical audiences.
• Translate analytical requirements into deployed software capabilities.
• Integrate analytic capabilities with program systems and services.

Skills

Python

SQL

Data visualization

Machine learning

Production deployment

Geospatial analytics

Collaboration

Analytical thinking

Education

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics

Tools

Big data platforms

Geospatial data tools

Job description

Responsibilities

• Apply advanced analytics and machine learning to mission problems for the National Geospatial-Intelligence Agency (NGA)
• Work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage
• Collaborate directly with analysts and mission users to shape analytic capabilities from concept to deployment
• Lead data science practices within a multi-team Agile delivery environment
• Design, develop, and deploy analytic models and machine learning solutions against large-scale structured and unstructured datasets
• Build and automate data processing pipelines for collection, cleaning, transformation, and enrichment
• Develop visualizations and analytic products that communicate complex findings to technical and non-technical audiences
• Collaborate with mission analysts to translate analytical requirements into deployed software capabilities
• Integrate analytic capabilities with program systems and services in coordination with development teams
• Evaluate model performance, drive iterative improvement, and document methodologies
• Mentor mid-level data scientists and promote analytic best practices across the program

Requirements

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (equivalent experience accepted)
• 8+ years of data science, analytics, or related engineering experience
• Expert proficiency in Python (or R) for data manipulation, modeling, and analysis
• Experience developing and deploying machine learning models into production environments
• Strong SQL skills and experience with large-scale data platforms
• Demonstrated experience with data visualization tools and techniques
• Security Clearance (TS/SCI) with willingness to undergo polygraph examination
• Experience with geospatial data (imagery, vector, raster) and geospatial analytics (desired)

Core Competencies

Demonstrates expertise in applying advanced analytics and machine learning to geospatial intelligence, with a strong focus on developing and deploying models and data processing pipelines. Proficient in collaborating with cross-functional teams to translate analytical requirements into actionable software solutions.