Do you love to push the bounds of science and technology?
Do you want to make meaningful contributions to operations
research (OR), artificial intelligence (AI), machine learning (ML),
and data analytics?
Are you passionate about informing decision-makers by developing
If so, we're looking for someone like you to join our team at
We're seeking a creative and ambitious operations research
scientist to lead the development of an array of descriptive,
predictive, and prescriptive techniques to provide insight to
decision-makers. You will seek leading-edge AI and ML solutions for
some of the country's toughest national security problems. You will
contribute to the development of software systems that incorporate
optimization, artificial intelligence, machine learning, and visual
analytics to support complex missions for U.S. national security
components including the Armed Services, Special Operations, and
national emergency support.
We at APL are passionate about building new and exciting
solutions for our sponsors, and are committed to integrity and
honesty. We strive to cultivate an environment of collaboration and
teamwork, and highly value substance and innovation. At APL, you
will be among creative thinkers, motivated problem solvers, and
life-long learners that want to strengthen the safety and security
of our country.
As an Operations Research Scientist...
Your primary responsibility will be to lead and work within a
small technical team to design and develop automated planning and
scheduling algorithms and software.
You will engage with sponsors to determine technical
You will design and code prototype software applications.
You will test, deploy, maintain and enhance software integration
with database applications.
You will develop and maintain software documentation and user
You meet our minimum qualifications for the job if you...
Possess a Master's Degree in Operations Research, Computer
Science, Software Engineering, Information Sciences, Applied
Mathematics, or a related discipline.
Have extensive knowledge of and experience with modern
optimization and AI planning techniques and tools, including CPLEX,
Gurobi, COIN-OR, or other similar optimization and prescriptive
Have deep experience developing a variety of analytic operations
research models to support decision-making.
Are proficient in Python and Java programming languages.
Have experience with other prescriptive analytic methodologies,
including decision analysis, Monte Carlo simulation, and game
Possess the ability to communicate clearly and concisely, both
verbally and in written form.
Possess the ability to prioritize tasks and work as part of a
team and independently.
Are eligible for or possess a DoD Top Secret / SCI
You'll go above and beyond our minimum requirements if
Have published peer-reviewed technical papers on relevant
Have experience with supervised and unsupervised learning
techniques, including deep neural networks and graph analytics.
Have experience with other AI techniques, including
Have knowledge of relational and NoSQL databases.
Have knowledge of agile methodology, unit testing, and
Have knowledge of national security applications and challenge
Possess current DoD Top Secret clearance. Preference for current
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
At APL, we celebrate our differences 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 www.jhuapl.edu/careers .