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Associate Data Scientist

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Filter by Date: Mar 14, 2019

Filter by Location: El Segundo, CA, US, 90245

Company: The Aerospace Corporation

Requisition ID: 44940 

All Locations: El Segundo, CA (California)  

A trusted partner. A national resource. A leader in national security space. We are THE Aerospace Corporation.  A team that takes pride in our readiness to solve some of the most complex technical challenges in existence. With challenges spanning government to commercial, you’ll have the unique opportunity to work on projects that are literally evolving our nation's space and launch capabilities. We all share a common passion and aspiration – to serve a mission much bigger than ourselves.  When you join our team, you’ll be part of a rare collection of thought leaders and game-changing innovators.  Are you ready to launch your career?



The Data Science and Artificial Intelligence Department seeks a creative and enthusiastic Associate Data Scientist to join a diverse team of engineers, data scientists, and programmers with a passion for machine and deep learning, data analytics, natural language processing, statistical analysis, and computer vision.  We are a growing, innovative, and collaborative department that makes meaningful contributions to National Security Space (AF, NRO, etc.), and Civil and Commercial customers (NASA, MDA, DHS, etc.).   


The ideal candidate is expected to contribute to one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Natural Language Processing, and Artificial intelligence.  They are also team-oriented, takes initiative, focused on developing cutting-edge technologies and frameworks, and are comfortable balancing a variety of projects spanning internally funded research and development to direct customer support for mission-critical space systems.  



  • Evaluation of selected technologies for specific system development tasks
  • Assessment of the maturity and prevalence of technologies in the industry for use in scalable and resilient mission-critical applications in a production environment
  • Presentation of evaluation results to senior members of team with recommendation for the best path forward for the project
  • Development of prototypes and proof-of-concept software/systems for distributed, mission-critical systems
  • Application of engineering techniques, procedures, and criteria in software/system development and design
  • The typical task-based environment with assignments that typically have specified objectives
  • Development of proof-of-concept infrastructure configuration and software prototypes for/with team leads
  • Development and execution of experiments with advanced software technologies (e.g. machine learning, virtualization/cloud platforms, software technologies, etc.) to prove technology viability for specific application/system
  • Working in a fast-paced, feature-driven environment with small teams that deliver features and products
  • Learning and understanding of new and cutting-edge technologies for utilization within product development and lifecycles
  • Creating an environment of learning and progress with team members and others



  • Minimum undergraduate GPA 3.0
  • Bachelor's degree in Computer Science, Computer Information Systems, Engineering, Physics, Mathematics or related field(s) from a recognized institution
  • 0-1 year of relevant industry experience
  • Software development skills in at least two different languages (e.g. Java, Python, C/C++)
  • Experience and understanding of software engineering concepts 
  • Experience and understanding of machine learning and statistics
  • Working knowledge of Unix/Linux operating systems
  • Leadership or technical responsibility in one or more software development or computer engineering projects
  • Position requires the ability to obtain and maintain a Secret security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance



  • Undergraduate GPA 3.5 or higher
  • Advanced degree in a technically related field
  • Proficiency in Python and/or C++ programming languages
  • Experience with data visualization and user interfaces
  • Experience with statistical modeling tools (R, Python, Octave/Matlab, etc..)
  • Experience in image/signal processing, statistics, data mining and predictive modeling
  • Experience in SQL, NoSQL and other big data querying languages
  • Familiarity with statistical tests, distributions, maximum likelihood estimators, etc…
  • Experience with machine learning methods like random forests, logistic regression, neural networks, k-nearest neighbors, etc…
  • Proficiency in at least one visualization tool and/or library (D3, Matplotlib, MS Excel, etc…)
  • Experience utilizing Scikit-learn, OpenCV, Caffe/TensorFlow libraries
  • Experience in collecting data from/exposing data to various data sources and services (API, XML, JSON, etc…)
  • Demonstrated ability to effectively define goals and track progress on tasks
  • Demonstrated ability to apply initiative and creativity to solve problems
  • Demonstrated ability to cooperate as a member of a team
  • Demonstrated ability to operate independently and proactively seek guidance as needed
  • Active security clearance
  • Participation in extracurricular activities related to data science (e.g. Kaggle competitions)
  • Experience in implementing real-time machine learning and data mining algorithms in large-scale environments
  • Experience with big data frameworks (e.g. Hadoop, Spark, etc.)


Transcript Requirement

Transcripts are required for this position.


Additional Requisition Details

Clearance Requirement: Secret 

Access: None 

Polygraph: None 

Relocation Available:  [[relo]] 

Employment Type: Regular 

Work Schedule: Full Time 


Company Statement

The Aerospace Corporation has provided independent technical and scientific research, development, and advisory services to national security space programs since 1960. We operate a federally funded research and development center (FFRDC) for the United States Air Force and the National Reconnaissance Office, and support all national security space programs. We also apply more than 50 years of experience with space systems to provide critical solutions to technologically complex systems in such areas as communications, shipping, law enforcement, and cyber, among others.

From our inception, our highly skilled technical staff has focused on ensuring the success of every mission and developing the most effective and economic space-related hardware and software in the world. Our greatest asset is the technical expertise of our people. Our state-of-the-art laboratory facilities are staffed by some of the leading scientists in the world.

All Aerospace employees working in organizations with technical responsibilities are required to apply for and maintain at least a Secret clearance.  U.S. citizenship is required for those positions.

Equal Opportunity Commitment

The Aerospace Corporation is an Equal Opportunity/Affirmative Action employer. We believe that a diverse workforce creates an environment in which unique ideas are developed and differing perspectives are valued, producing superior customer solutions. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you’re an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by email at You can also review The Equal Employment Opportunity is the Law poster and the supplement, as well as the Pay Transparency Policy Statement

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