Data Scientist

Description

Are you passionate about building solutions for our greatest national security challenges?

Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development?

Do you value working in a creative and collaborative environment?

If so, we're looking for someone like you to join our team at APL.

The Threat Analytic Systems (QAI) Group wants talented staff who can work as part of a team to provide our nation with ground-breaking capabilities that bridge the gaps between data, real-world events and people, and prediction of events of national importance.

We need talented engineers, scientists, and developers with curiosity and a drive for learning!

At APL we make critical contributions to our nation's critical challenges, and we do so in a collaborative, inclusive environment that cultivates curiosity, innovation, and creativity.

If you're interested in applying your technical skills to find novel solutions to unique problems, we want to hear from you.

As a member of our team, you will...

• Apply knowledge in machine learning, natural language processing, statistical analysis, and / or software development to solve difficult, non-routine data analysis problems for our sponsors.
• Research, explore, and develop innovative techniques and technologies in the field of data science.
• Develop prototype software to gather, process, and analyze intelligence data from various sources.
• Effectively communicate ideas and results through papers and presentations to technical staff, management, and government decision makers.

Qualifications

You'll meet our minimum requirements if you have...

• BS or BA in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering or related field.
• Experience with machine learning or deep learning, natural language processing, and statistical analysis.
• Hands-on experience with Python.
• Comfort working with loosely defined or high-level requirements (as opposed to a fully defined project schedule).
• Ability to work on and set priorities for multiple dynamic projects to support evolving national security requirements.
• Strong problem solving, analytical, and organizational skills.
• Demonstrated initiative and excellent written and verbal communication skills.
• Are able to obtain a Top Secret level security 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'll go above and beyond our minimum requirements if you have...

• MS or PhD in Computer Science, Mathematics, Physics, Computer Engineering, Electrical Engineering, or related engineering field.
• Proven track record in designing and developing machine learning and data mining algorithms for solving interdisciplinary problems.
• Experience with data-driven predictive model development.
• Experience with software engineering processes, techniques, and tools.
• An active 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 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 http : / / 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

Please make sure you read the following details carefully before making any applications.

$90,000 Annually

Maximum Rate

$330,000 Annually

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