2027 Graduate - Data Analyst - Engagement Optimization

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.

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.

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a 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. Applications are accepted on a rolling basis.