Data Scientist

3 weeks ago

Laurel MD, United States Johns Hopkins Applied Physics Laboratory (APL) Full time

Are you passionate about building solutions for our greatest national security challenges?
 
Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development?
 
Do you value working in a creative and collaborative environment?
 
The Threat Analytic Systems (QAI) Group wants talented staff who can work as part of a team to provide our nation with ground-breaking capabilities that bridge the gaps between data, real-world events and people, and prediction of events of national importance. Apply knowledge in machine learning, natural language processing, statistical analysis, and/or software development to solve difficult, non-routine data analysis problems for our sponsors
Research, explore, and develop innovative techniques and technologies in the field of data science
Develop prototype software to gather, process, and analyze intelligence data from various sources
Effectively communicate ideas and results through papers and presentations to technical staff, management, and government decision makers

BS or BA in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering or related field
Experience with machine learning or deep learning, natural language processing, and statistical analysis
Hands-on experience with Python
Comfort working with loosely defined or high-level requirements (as opposed to a fully defined project schedule)
Ability to work on and set priorities for multiple dynamic projects to support evolving national security requirements
Are able to obtain a Top Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. MS or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or related engineering field
Proven track record in designing and developing machine learning and data mining algorithms for solving interdisciplinary problems
Experience with data–driven predictive model development
Experience with software engineering processes, techniques, and tools
An active security clearance
 
Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.
APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

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