Johns Hopkins Applied Physics Lab

2027 Graduate - Data Analyst - Engagement Optimization

Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Mathematics, Statistics, Engineering, Physics, Computer Science, Data Science, or related field
  • Experience programming and scripting in languages like MATLAB or Python
  • Strong communication skills
  • Ability to work collaboratively with multidisciplinary teams
  • Eligible to obtain an Interim Secret level security clearance by start date.

Responsibilities

  • Analyze data to identify and implement improvements to combat system design
  • Build and improve automated software tools for data analysis
  • Drive new design features and provide technical recommendations
  • Deliver presentations to stakeholders and engineering teams
  • Propose innovative solutions for next-generation capabilities

Benefits

  • Work on critical defense system projects
  • Collaborative and innovative team environment
  • Opportunities for professional growth and leadership roles
  • Engagement with advanced technologies like AI and ML
  • Potential travel opportunities
Full Job Description
Description

Are you interested in investigating data to develop effective Engagement Optimization strategies for defending our nation against global air and missile threats?

If you want to explore data-driven insights we would love to have you join our group!

The Engagement Optimization Group is a group of software and systems engineers, systems analysts, mathematicians, and technical leaders who apply innovative solutions to real-world defense system problems.

We are seeking a Data Analyst to evaluate system performance and join a hardworking missile defense analytics team dedicated to ensuring warfighters have the capabilities to accomplish numerous missions that are crucial to the defense of our nation.

As a Data Analyst supporting combat system requirements, design, test and evaluation...
  • Your primary responsibility will be analyzing data to identify and implement improvements to combat system design.
  • Build, maintain, and improve automated software tools to enable rapid analysis of large data sets from complex operational systems to aid in the discovery and recognition of trends, characterize system performance, and perform root cause analysis.
  • Drive new design features and provide technical recommendations based on analysis.
  • Deliver presentations to sponsors and engineering community working groups; effectively communicate proposed concepts, engineering results, and recommendations.
  • Propose innovative new solutions for next-generation Engagement Optimization capabilities. Grow into a leadership role coordinating internal and external analysis activities.

Qualifications

You meet our minimum qualifications for the job if you...
  • Have earned a BS or MS in Mathematics, Statistics, Engineering, Physics, Computer Science, Data Science, or a related field.
  • Have experience programming and scripting in software languages such as MATLAB or Python.
  • Demonstrate strong communication skills.
  • Thrive in a collaborative environment, including work with multi-disciplinary teams and multiple organizations.
  • Are able to obtain an Interim Secret level security clearance by your start date and ultimately obtain a Secret level clearance. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Possess strong MATLAB and/or Python scripting skills.
  • Have experience working with Artificial Intelligence (AI) and Machine Learning (ML) algorithms and using these tools in your workflow.
  • Are willing and able to travel.
  • Have experience in Aegis Weapon System performance assessment and/or Missile Defense Agency (MDA) ground and flight test analysis.
  • Hold an active Secret or Top Secret security clearance.


Minimum Rate

$85,000 Annually

Maximum Rate

$165,000 Annually

About Johns Hopkins Applied Physics Lab

The Johns Hopkins University Applied Physics Laboratory (APL) is a research and development organization that provides solutions to national security and scientific challenges. The laboratory was founded in 1942 and is located in Laurel, Maryland. APL is a division of the Johns Hopkins University and is a not-for-profit organization. The laboratory has expertise in a variety of areas, including space exploration, national security, and healthcare.
Learn more about Johns Hopkins Applied Physics Lab
Size
7,000 employees
Industry
Founded
1942

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