Data Scientist IV

52722

Company:

GA Intelligence

General Atomics Integrated Intelligence, Inc. (GA-Intelligence), an affiliate of General Atomics, was founded in 1989 and is located in Charlottesville, VA. It provides custom software development and innovative information engineering solutions to customers in government and private industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time.

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding.

We always want to do more, and that's where you come in!

• Design, develop and program methods that integrate to systems that consolidate and analyze unstructured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.
• Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches.
• Communicate insights and findings from analysis and experiments to product, service, and business managers.
• Identify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action
• Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements.
• Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Document findings for business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication.
• Represent the organization as a contact with internal and external representatives.
• Maintain the strict confidentiality of sensitive information.
• Responsible for observing all laws, regulations and other applicable obligations wherever and whenever business is conducted on behalf of the Company. Expected to work in a safe manner in accordance with established operating procedures and practices.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

• Typically requires a bachelor's degree, master's degree or PhD in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution and progressive data science experience as follows; nine or more years of experience with a bachelor's degree, seven or more years of experience with a master's degree, or four or more years with a PhD. May substitute equivalent experience in lieu of education.
• Must have a general understanding of software development concepts, principles, and theory and demonstrate the ability to follow and apply the use of programming and analysis concepts.
• Must be able to work both independently and in a team environment.
• Able to work extended hours and travel to support project needs as required.

• Active TS/SCI Clearance with CI Poly
• Prior experience with gym, Unity, Unreal, or some other simulation environments
• Researched or applied autonomy in a highly-latent, low-bandwidth, or otherwise resource constrained environment
• Trained deep reinforcement learning algorithms for coordination of multiple, autonomous goals
• Performed nonlinear optimization for resource allocation with dynamic uncertainty and/or non-observable variables
• Prior experience in domains/industries like: robotics, space mission planning, large industrial facility automation, robust and resilient communications
• Familiarity with common machine learning libraries for implementation (sklearn, weka, tensor flow, torch, etc)
• Proficiency in one or more of:
  Python, C++, Java, R, Julia, Matlab
• Ability to understand and implement new models from the literature
• Experience with geospatial data and analytics.
• Familiarity with Intelligence Community and DoD mission sets.

US Citizenship

Required:

Yes

Experience Level: Senior (8+ years)

Relocation Assistance Provided: Yes

Workstyle: Hybrid

Pay Range: 116, (VA, Chantilly)

Travel Required: 0% - 25%

Clearance Level: Top Secret (current SCI access with CI Poly)