2025 PhD Graduate – Data Science – System Performance Evaluation - Johns Hopkins Applied Physics Laboratory

Description:

Do you enjoy manipulating and analyzing data to find data-driven solution to complex problems?

Do you want to contribute to work that is crucial to maintaining our national security and strength?

Are you continuously searching for new ways to grow your knowledge and improve your skills?

If you are graduating with a PhD in Data Science, Statistics, or Computer Science, we would love to have you join our team!  We are seeking a PhD data scientist to support multi-disciplinary teams performing a variety of quantitative tasks for defense and national security applications. You will be joining our diverse team of hardworking engineers, software developers, data scientists, and analysts committed to advancing the state-of-the-art in performance evaluation of the nation’s strategic weapons systems throughout their lifecycle. We believe in building diverse teams, continually growing our capabilities, and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.

As a member of our team, you will…

• Work with multi-disciplinary teams to develop data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
• Develop models and simulations to describe data, predict events, and prescribe a course of action that directly reflect stakeholder’s needs across a variety of domains.
• Build forward-thinking analytical solutions to test and evaluate prototype and operational systems.
• Use internal funding opportunities to shape the direction of future research.
• Circulate knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers.

Qualifications:

You meet our minimum qualifications for the job if you...

• Have a PhD in Data Science, Statistics, Mathematics, Computer Science or a related field.
• Have research or professional experience in developing analytical pipelines, data science applications and dashboard tools, and statistical and machine learning methodologies for specific quantitative goals.
• Demonstrate strong interpersonal skills and the ability to work independently and on a team.
• Have experience with Python and/or R.
• Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You will go above and beyond our minimum requirements if you...

• Have research or professional experience with statistical analysis methodologies and design of experiments.
• Have research or professional experience with Database languages and/or Data Science tools such as SQL, Scikit-learn, Numpy, Matplotlib, etc.
• Have research or professional experience with high level APIs and libraries for AI/ML development such as Tensorflow, PyTorch, and/or the HuggingFace stack.
• Have experience in project management or leading technical teams.
• Have experience in writing technical proposals, particularly to government research projects.

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 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.

About Us:

APL is an Equal Opportunity/Affirmative Action employer. 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 promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are 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 Accommodations@jhuapl.edu. Only by ensuring that everyone’s voice is heard are we empowered to be bold, do great things, and make the world a better place.

 

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.

Minimum Rate:$90,000 AnnuallyMaximum Rate:$230,000 Annually