Staff Data Scientist-Unmanned Underwater Vehicles (UUVs)

at  Applied Research Associates Inc

ARA is seeking a Staff Data Scientist with a background in unmanned underwater vehicle (UUV) systems to support US Navy UUV Modeling, simulation, and testing efforts. Seeking an individual with a deep understanding of unmanned underwater vehicle systems (Remotely operated and autonomous vehicles), machine learning, and AI to assist a research team in finding solutions for current UUVs and discovering new capabilities.
As a Staff Data Scientist, you will be involved in the analysis of unstructured/semi-structured data related to unmanned underwater vehicles.

REQUIRED EXPERIENCE AND EXPERTISE

• A bachelor’s degree and 2-4 years’ experience developing, managing, preparing, processing, analyzing, visualizing, and evaluating large datasets from UUVs and underwater environments.
• U.S. Citizenship and ability to obtain a DoD security clearance.
• Experience using AI and ML methods to support evaluation, modeling, and predicting UUV and underwater environment behaviors.
• Experience connecting dissimilar data types (data fusion) and translating data between digital and physical spaces (modeling and simulation vs test and evaluation).
• Experience developing, modifying, and/or troubleshooting UUV control/behavior in both digital and physical environments based on sensor and environment data.
• Experience preparing research reports, technical proposals, formal presentations, and reading/interpretating data.
• Proficiency with MS Office Suite and software development programs such as Linux/Java, Python and visual analytics tools such as Microsoft Pivot.
• Ability to work independently or in a diverse team setting.

PREFERRED EXPERIENCE

• Working with U.S. Navy UUVs or similar.
• Working with the Naval Autonomy Test System (NATS), NATS Integrated Management System (NIMS), and/or Virtual Maritime Autonomy Test Environment (VMATE).
• Experience developing and/or using Tactical Awareness Kit (TAK) applications.
• Experience preparing, analyzing, and utilizing data for digital twin environments.
• Active DoD Security Clearance.
  This job is onsite and can be in Panama City, Florida or San Antonio, TX.

Please refer the Job description for details