General Atomics Aeronautical Systems, Inc

Data Scientist I

General Atomics Aeronautical Systems, Inc • $80K — $110K *
Charlottesville, VA 22903In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's or master's degree in data science, applied mathematics, statistics, computer science, or related field; equivalent experience may suffice.
  • Ability to work independently and collaboratively within a team.
  • Willingness to work extended hours and travel as project needs demand.
  • Must be able to obtain and maintain DoD security clearance.

Responsibilities

  • Design and develop methods to integrate and analyze unstructured, diverse data sources for actionable insights.
  • Develop, refine, and support statistical and machine learning models using cutting-edge techniques.
  • Communicate analytical insights to product, service, and business managers.
  • Identify product and customer process improvements through statistical modeling.
  • Create and utilize algorithms, clean data, and perform analyses to meet stakeholder requirements.
  • Develop data visualizations to simplify complex data concepts for stakeholders.
  • Interact with product and service teams to address data analysis needs.

Benefits

  • Opportunity to work with advanced data science techniques and innovative technologies.
  • Exposure to diverse projects across various domains like robotics and space mission planning.
  • Collaboration with cross-functional teams and representation of the organization internally and externally.
  • Commitment to workplace diversity and inclusion.
Full Job Description
Job Summary


DUTIES AND RESPONSIBILITIES:
  • 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.

Job Qualifications

  • Typically requires a bachelor's or master's degree in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution. May substitute equivalent experience in lieu of education.
  • 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.
  • Ability to obtain and maintain DoD security clearance is required.
PREFERRED SKILLS AND EXPERIENCE:
  • 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, tensorflow, 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.

About General Atomics Aeronautical Systems, Inc

General Atomics Aeronautical Systems, Inc. (GA-ASI) is a leading designer and manufacturer of remotely piloted aircraft (RPA) systems, radars, and electro-optic and related mission systems, including the Predator® RPA series and the Lynx® Multi-mode Radar. GA-ASI provides long-endurance, mission-capable aircraft with integrated sensor and data link systems required to deliver persistent situational awareness and rapid strike capabilities. The company is headquartered in Poway, California, and has additional offices and facilities around the world.
Learn more about General Atomics Aeronautical Systems, Inc
Size
14,000 employees
Industry
Aerospace & Defense
Founded
1955
* Ladders Estimates

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