Data Scientist (Exploitation Specialist-Senior) - NGA - WASH

Masego•Springfield, VA

6d•$150,000 - $160,000•Onsite

About The Position

We are looking for a Senior-level TS/SCI-cleared Data Scientist to join our team. This role involves applying AI/ML technologies and data systems, working with multiple file types including geospatial formats, JSON, and XML. The position requires quantitative analysis, developing visualizations, and processing complex data to create data-driven insights, along with development experience in Python and other languages for data cleaning and manipulation.

Requirements

10+ years of relevant experience in lieu of a degree OR 7 years of relevant experience with a Bachelor's Degree OR 8 years of relevant experience with an Associate's Degree.
Experience working with AI/ML technologies and data systems
Experience working with multiple file types including geospatial file formats, JSON, XML, etc.
Experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights
Development experience in Python and other languages for data cleaning and manipulation
Active TS/SCI and current CI Polygraph

Nice To Haves

Experience applying NLP algorithms to extract data from documents
Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting along with data standardization best practices
Demonstrated expertise in math, statistics, and quantitative analysis
Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modeling

Responsibilities

Working with AI/ML technologies and data systems
Working with multiple file types including geospatial file formats, JSON, XML, etc.
Doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights
Development in Python and other languages for data cleaning and manipulation
Applying NLP algorithms to extract data from documents
Experience with enterprise NGA analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting along with data standardization best practices
Demonstrated expertise in math, statistics, and quantitative analysis
Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modeling