2025 Graduate - Data Scientist; Computer Scientist; Engineer - Decision Systems

The Johns Hopkins University Applied Physics Laboratory - Laurel, MD

Full-time - Entry Level

Laurel, MD

Professional, Scientific, and Technical Services

About the position

The position is for a Data Scientist or Engineer within the Decision Systems Group at the Johns Hopkins University Applied Physics Laboratory (APL). The role focuses on developing data-driven solutions that enhance national and health security through advanced analytic methods and integrated software systems. The successful candidate will work collaboratively in a team environment to design and implement decision support systems, engage in research, and develop prototypes that align with sponsor missions.

Responsibilities

• Design and develop high-performance, scalable, and resilient decision support systems.
• Collaborate with internal and external partners to translate system concepts into actionable plans.
• Develop proof of concept prototypes to explore new technologies relevant to sponsor missions.
• Conduct research and analysis to shift approaches from reactive to proactive.

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a similar field.
• Proficiency 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 relationship-building abilities.
• Ability to acquire an Interim Secret level security clearance and ultimately obtain a final Secret level security clearance.

Nice-to-haves

• Prior experience in Generative AI, Deep Learning, Optimization, Natural Language Processing, Operations Research, Supply Chain Analysis, Software Engineering, Data Visualization, Data Engineering, DevOps/MLOps, Public Health Surveillance, or Health Informatics.
• Experience communicating analyses of real-world data sets to diverse audiences.

Benefits

• Robust education assistance program.
• Unparalleled retirement contributions.
• Healthy work/life balance.