Data Scientist

Johns Hopkins Applied Physics Laboratory•Laurel, MD

22h

About The Position

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? If so, we're looking for someone like you to join our team at APL. The Threat Analytic Systems (QAI) Group is seeking engineers, scientists, and developers with a curiosity and drive for learning who can translate advanced technologies into mission impact. At APL we make critical contributions to our nation’s critical challenges, and we do so in a collaborative and dynamic environment that cultivates curiosity, innovation, and creativity. We are looking for candidates with strong fundamentals and the ability to learn quickly in a dynamic mission space.

Requirements

BS or BA in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering or related field
Experience applying AI/ML, natural language processing (NLP), statistical analysis, or related technical fields to real-world problems
Experience developing reliable software (Python preferred), with the ability to contribute to shared code bases using sound software-engineering practices
Comfort working from loosely defined or high-level requirements
Strong problem solving, analytical, and organizational skills
Ability to manage priorities across multiple dynamic projects supporting evolving national security needs
Demonstrated initiative and ability to work effectively both independently and as part of a team
Strong written and verbal communication skills, including the ability to explain technical ideas to audiences with varied technical backgrounds
Have the ability to obtain a TS/SCI 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. Eligibility requirements include U.S. citizenship.

Nice To Haves

MS or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or related engineering field
Experience designing and developing AI/ML approaches for interdisciplinary problems
Experience architecting, implementing, and testing prototype software intended for sustained use by a team
Experience communicating technical findings and recommendations to sponsors, leadership, or other decision makers

Responsibilities

Develop, evaluate, and improve technical approaches to challenging, non-routine problems involving artificial intelligence / machine learning (AI/ML), data science, and related technologies
Design and contribute to prototype software that gathers, processes, and analyzes data from sources ranging from the open web to authoritative ontologies and knowledge graphs
Research, explore, and develop innovative techniques and technologies in the field of artificial intelligence
Assess the strengths, limitations, and tradeoffs of technical approaches and help teammates and sponsors understand how to improve, extend, or adapt them to new problems
Communicate ideas, methods, and results clearly through papers, presentations, and discussions with technical staff, leadership, and government decision makers