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2027 Graduate - Data Scientist; Computer Scientist; Engineer - Decision Systems

Johns Hopkins Applied Physics Laboratory (APL) Laurel, MD

Laurel, MD

Today

$85k - $165k/yr Full time Computer Science Data Science Data Scientist

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Job Description

The Decision Systems Group at Johns Hopkins Applied Physics Laboratory (APL) has a 2027 Graduate opportunity focused on designing and developing decision support systems and data-driven, explainable solutions. This role blends research, analysis, and prototype development within an interdisciplinary environment.

Role Overview

As part of the Decision Systems Group, you will contribute to the research and engineering work that supports APL sponsor missions. The focus includes moving from reactive approaches toward more proactive capabilities, while building scalable prototypes that evaluate new technologies in context.

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 advance approaches from a reactive posture to a proactive posture.

Required Qualifications

Earned a Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a closely related field.
Proficiency in at least one programming language commonly used in data science and/or full-stack development, such as Python, Java, or JavaScript.
Strong written and oral communication, organizational skills, and an ability to build effective working relationships.
Ability to acquire an Interim Secret security clearance by the start date, and ultimately obtain a final Secret clearance. Selected candidates will be subject to a government security clearance investigation and must meet access requirements for classified information, including U.S. citizenship.

Technologies

Python
Java
JavaScript

Preferred Qualifications

You may be considered a strong fit if you have experience or research background in areas such as:

Generative AI
Deep Learning
Optimization
Natural Language Processing
Operations Research
Supply Chain Analysis
Software Engineering
Data Visualization
Data Engineering
DevOps / MLOps
Public Health Surveillance
Health Informatics

Additional alignment includes a demonstrated track record of communicating analysis of real-world data sets to audiences with varied technical backgrounds.

Location and Work Setting

Location: Laurel, MD
Work setting: Onsite

Compensation

Minimum rate: $85,000 annually
Maximum rate: $165,000 annually

Benefits

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

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