Data Scientist

Introduction:

Are you passionate about providing real impact to the country’s toughest national security problems?

Are you searching for engaging work with an employer that prioritizes continual innovation?

Our team is looking to provide large-scale analytics contributions to DoD and IC programs. To succeed, we need talented data scientists and software developers! We are looking for individuals with curiosity as well as a drive to learn and innovate!

The Johns Hopkins University Applied Physics Laboratory (APL), a national leader in scientific research and development, is located midway between Baltimore and Washington, DC is seeking Data Scientists. As a Data Scientist at APL, you will get to work with cutting-edge hardware, software and techniques to develop computational algorithms and statistical methods that find information hidden in large volumes of data.

Job Summary:

The Large-Scale Analytics Systems Group (QAS) provides critical contributions to some of the nation’s greatest information systems challenges today. Candidate will design and develop novel machine learning algorithms and architect massive data stores to solve some of the most complex problems facing the DoD and IC. We are looking for an energetic and creative individual to implement computationally tractable algorithms and to design corresponding data architectures on which to run the algorithms to help analyze large and complex data. The successful candidate will join a growing team of data scientists in a collegiate environment at a university-affiliated research center.

Duties (Listed in order of importance with the estimated amount of time spent at each task):

1. Develop innovative algorithms for analyzing large-scale and complex data. Create software prototypes. (45%)

2. Design and develop large-scale graph architectures using technologies like Hadoop and Spark to support analytic algorithms. (45%)

3. Present results to both JHU/APL and Sponsor leadership. (10%)

Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.

Required Qualifications:

B.S. in Computer Science, Information Science, Mathematics, Physics, Operations Research, or related field. 1-5 years of experience. Experience with statistics, machine learning algorithms, or general algorithm development. Working knowledge of modern large-scale data systems and architectures. Solid software development skills. Excellent interpersonal skills, the ability to work independently, outstanding written and oral communications skills, and good organizational skills. Applicants selected will be subject to a Government security investigation and must meet the eligibility requirements for access to classified information. Eligibility requirements include US citizenship. Must be eligible for DoD clearance requiring background investigation and/or polygraph examination. Preference for current SSBI.

Desired Qualifications:

M.S. or Ph.D. in the disciplines listed above. Working knowledge of state-of-the-art large-scale data approaches and architectures. Experience with software engineering processes and techniques.

Special Working Conditions [Travel, working in closed areas, extended hours]: Some local travel to sponsor sites may be required.

Security: Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu.

Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.


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