Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial
Data Scientist, Mid The Opportunity: Provide statistical, mathematical, visualization, or coding support to assist an Intelligence community client analyze and interpret a wide range of data and aid with data management efforts to ensure interoperability, conservation
Data Scientist - Senior Location: Springfield, VA TS/SCI REQUIRED Current CI polygraph is required immediately after starting (or already within scope) Position Responsibilities: Experience working with AI/ML technologies and data systems Experience working with multiple file
The Company: Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle
Data Scientist, Junior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial
Source Performance and Quality Specialist (Mid) Location: Springfield, VA TS/SCI REQUIRED Position Responsibilities: Define, execute, and analyze the results of complex studies of collection system performance. Respond to requests for studies from customers across the NSG,
Geo Owl · SDVOSB · Est. 2013 Data Analyst NGA MAVEN PROGRAM · GEOINT · DATA ANALYTICS · MIDDLE Great AI/ML models start with great data — and great data starts with analysts who understand what
Geo Owl · SDVOSB · Est. 2013 Data Scientist (EO and SAR) NGA MAVEN PROGRAM · EO/SAR · AI/ML DATA SCIENCE · SENIOR Overhead imagery doesnt label itself — and machine learning models dont build themselves
Geo Owl · SDVOSB · Est. 2013 Geospatial Analyst NGA MAVEN PROGRAM · GEOINT · MULTI-INT ANALYSIS · MIDDLE Machine learning models need training data that reflects the real world — and identifying which imagery captures