Verified Job On Employer Career Site
Job Summary:
Leidos tackles the most challenging national defense problems using advanced signal processing and data analytics. They are currently seeking data scientists to join their leading-edge research and engineering group, focusing on designing and implementing machine learning solutions for complex national problems.
Responsibilities:
Design and develop advanced statistical and machine learning models utilizing state-of-the-art methods.
Implement advanced statistical concepts, algorithms and techniques to extract, consolidate and analyze unstructured, classified big data sources to generate actionable insights.
Collaborate with other applied scientists, engineers, researchers & program managers to architect and implement machine learned solutions to novel problems.
Engage in continuous learning and development, staying current with the latest advances in AI/ML and data science to ensure fit-for-purpose and impactful approaches.
Qualifications:
Required:
Bachelor's degree with 4+ years of prior relevant experience or Masters degree with 2+ years of relevant experience
Proficient in modern data exploration techniques and tools
Experience developing and implementing machine learned solutions
Familiarization with modern AI/ML algorithms and libraries
Fluency in C/C++, Python or Matlab
Strong understanding of machine learning concepts, principles and practices
Strong written and verbal communication skills
Required on-site full-time work in San Diego, CA
Must be a US citizen with the ability to obtain US Government Top Secret security clearance
Preferred:
Experience performing research to develop data science solutions
Experience implementing and applying advanced mathematical concepts in software applications
Currently holds an active US Government Top Secret security clearance
Company:
Leidos is a Fortune 500 innovation company rapidly addressing the worlds most vexing challenges in national security and health. Founded in 1969, the company is headquartered in Reston, Virginia, USA, with a team of 10001+ employees. The company is currently Public Company.
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