Maxar is seeking a Software Developer/Data Scientist to develop and optimize machine learning models for analyzing large and varied datasets to extract patterns and behaviors for national security missions.
Requirements
- Strong developer, particularly in C++, Python, R, SQL and shell script
- Experience writing and working with GPU-accelerated software
- Experience using Docker for packaging and delivering data science capabilities
- Experience developing and testing machine learning, deep learning, or computer vision models
- Experience with Data Analytics
- Experience in machine learning and data science
- Experience conducting model feasibility research and algorithm development for machine learning
Responsibilities
- Extracting and transforming data using programming languages such as Python and associated open-source data analytics libraries
- Ascertaining unique ways to apply algorithms to derive specific customer data analytic results
- Applying big data analytics tools to large, diverse sets of collection data to assess risk of adverse threat activities
- Extending existing algorithms as required to support customer requirements
- Applying data science methods to create and optimize convolutional neural networks that will perform classification, localization and segmentation of various modalities of remotely-sensed imagery
- Contribute to the development of data analytics, user workflows and interfaces, security authentication, and service call architecture comprising a family of applications in our software suite
- Create rapid prototypes and design and implement complex, cutting-edge systems with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of CV data to extract meaningful knowledge
Other
- Must be a US Citizen, current/active TS/SCI clearance, and willing and able to obtain a CI Polygraph
- Willing to work onsite in Springfield, VA
- Ability to work both independently and in a team environment
- Effective oral and written communication skills to include active listening
