Data Scientist – Decision Systems & AI for Security

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 105,000 - 245,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) in the Baltimore-Washington metro area seeks a data-driven researcher to design scalable decision-support systems and advance analytic methods for informed decision making in national security contexts. This role emphasizes collaboration with internal and external partners and developing proof-of-concept prototypes to explore new technologies.

The candidate will engage in research to move approaches from reactive to proactive, with requirements for

Qualifications

• Terminal degree (e.g., PhD, DEng) in Computer Science, Mathematics, Physics, Electrical Engineering, or a similar field.
• Proficient in at least one programming language commonly used in data science and/or full-stack development (e.g., Python, Java, JavaScript)
• Outstanding written and oral communication skills, organizational skills, and a penchant for relationship building
• Eligible for Interim Secret clearance to start; final Secret clearance required; U.S. citizenship required

Responsibilities

• Design and develop high-performance, scalable, and resilient decision support systems.
• Collaborate with internal and external partners to translate system concepts into plans of action.
• Develop proof of concept prototypes to explore new technologies in the sponsor's missions.
• Engage in research and analysis to move approaches from reactive to proactive.

Skills

Programming languages

Communication skills

Security clearance eligibility

Citizenship requirement

Education

Terminal degree (PhD/DEng) in CS/Math/Physics/EE

Job description

Johns Hopkins Applied Physics Laboratory (APL) in the Baltimore-Washington metro area seeks a data-driven researcher to design scalable decision-support systems and advance analytic methods for informed decision making in national security contexts. This role emphasizes collaboration with internal and external partners and developing proof-of-concept prototypes to explore new technologies.

The candidate will engage in research to move approaches from reactive to proactive, with requirements for