Data Scientist - Senior

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Scientist to perform data analysis via statistical and quantitative methods, develop visualizations to support decision making, and build software to enable thorough monitoring and management of data pipeline tasks. The ideal candidate brings deep expertise in data systems and a passion for solving complex analytical problems in support of Machine Learning model development and operational intelligence missions. This role will help accelerate the implementation of the NGA Maven Data Strategy and drive cross-departmental collaboration to enhance workflows and deliver greater productivity across labeling and imagery curation efforts.

Requirements

and mission objectives Build and integrate analytic tools and algorithms for imagery curation, acquisition, and chipping Design methods and mechanisms to track, report, and monitor mission-specific objectives to maintain custody of training data priorities Build software tools to manage labeling campaigns, including: Tracking unlabeled and labeled data and campaign status Transferring label task information via API-based movement between platforms Build software tools to: Filter and visualize data geospatially Allow feedback entry and data analysis Integrate with existing data management platforms Conduct analysis of overall data holdings to support development of performant AI/ML models satisfying operational user

Evaluate, monitor, and provide recommendations on training, test, and validation data splits for effective model development and performance evaluation What You Must Have Active TS/SCI Clearance with the ability to obtain a CI/Poly Experience working with AI/ML technologies and data systems Experience working with multiple file types including: Geospatial file formats JSON, XML, and related formats Experience in quantitative analysis and data operations, including: Developing visualizations and processing complex data to create data-driven insights Data manipulation and ETL procedures Working knowledge of SQL and NoSQL database technologies Development experience in Python and other languages for data cleaning and manipulation What Would be

Nice To Have

Experience applying Natural Language Processing (NLP) algorithms to extract data from documents Experience with enterprise NGA analytic modernization efforts such as SOM