Graduate Data Scientist & Systems Engineer - Proactive AI

Johns Hopkins Applied Physics Laboratory (APL); Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Benefits offered by this job

Education assistance

Retirement contributions

Work-life balance

Comprehensive benefits package

Job summary

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD invites 2027 graduates to contribute to designing decision support systems and data-driven, explainable solutions. This role blends research, analysis, and prototype development in an interdisciplinary environment.

As part of the Decision Systems Group, you will move from reactive approaches toward proactive capabilities, building scalable prototypes and evaluating emerging technologies in sponsor missions within an onsite setting.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Electrical Engineering or a closely related field.
• Proficiency in Python, Java, or JavaScript.
• Strong written and oral communication abilities.
• Ability to obtain Interim Secret clearance and ultimately final Secret clearance; U.S. citizenship required.

Responsibilities

• Collaborate with a team to design and develop high-performance, scalable, and resilient decision support systems.
• Work with internal and external partners to translate system concepts into concrete plans of action.
• Create proof of concept prototypes to explore emerging technologies aligned with sponsor missions.
• Perform research and analysis to move from a reactive to a proactive posture.

Skills

Programming languages

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Electrical Engineering

Tools

Python

Java

JavaScript

Job description

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, MD invites 2027 graduates to contribute to designing decision support systems and data-driven, explainable solutions. This role blends research, analysis, and prototype development in an interdisciplinary environment.

As part of the Decision Systems Group, you will move from reactive approaches toward proactive capabilities, building scalable prototypes and evaluating emerging technologies in sponsor missions within an onsite setting.