Cognitive Science Intern in Annapolis Junction, MD at Booz Allen Hamilton

Date Posted: 2/4/2018

Job Snapshot

Job Description

Job Number: R0018874

Booz Allen Hamilton has been at the forefront of strategy and technology for more than 100 years Today, the firm provides management and technology consulting and engineering services to leading Fortune 500 corporations, governments, and not-for-profits across the globe. Booz Allen partners with public and private sector clients to solve their most difficult challenges through a combination of consulting, analytics, mission operations, technology, systems delivery, cybersecurity, engineering and innovation expertise.

Cognitive Science Intern

Key Role:

Work under general supervision and use technical skills to explore and examine data from multiple disparate sources with the goal of assisting with the design of inquiries that can provide a competitive advantage or address a pressing business problem by discovering patterns and previously hidden insights. Leverage expertise in cognitive science to assist with creating behavior analytics. Develop software code, mathematical equations, or conceptual models to convert cognitive science concepts into actionable machine analytics.


Basic Qualifications:

-Experience with conducting research

-Ability to collaborate with others

-Ability to present findings

-Ability to obtain a security clearance

-Pursuing a BA or BS degree


Additional Qualifications:

-Possession of excellent critical thinking and analytical skills

-Pursuing an MA, MS, MBA, JD, or PhD degree is accepted
 

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.


Integrating a full range of consulting capabilities, Booz Allen is the one firm that helps clients solve their toughest problems by their side to help them achieve their missions.  Booz Allen is committed to delivering results that endure.


We are proud of our diverse environment, EOE, M/F/Disability/Vet.

SIG2017

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