Data Scientist / Applied Mathematician - Johns Hopkins Applied Physics Laboratory

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

Are you searching for engaging work with an employer that prioritizes impact, innovation, and personal development? Do you value working with on large and diverse data sets?

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

To address emerging national challenges, we develop software systems that enable the application of data science and artificial intelligence (AI) to a variety of domains, such as social media analysis, healthcare, cyber operations, and signal and video exploitation. Our group is currently making critical contributions in the fight against online misinformation and in the defense against cyber-attacks. We want talented data scientists who can work as part of a team to design and implement state of the art data analytics, and acquire meaningful, actionable intelligence for our sponsors. You will combine your expertise with the latest technology in order to rapidly prototype and build applications leveraging text, imagery, and other data modalities.

As a Data Scientist / Applied Mathematician, you will ...

• Work within a team environment to develop, perform, and automate analyses on large, diverse data sets in support of critical operational requirements
• Work with government sponsors to identify appropriate data sources, models, methods, and validation approaches for developing new analyses in response to critical information requirements identify and implement appropriate methods of visualization and communication.
• Contribute to and lead software teams to integrate analysis within application data platforms.
• Share knowledge by clearly articulating ideas through papers and presentations to technical staff, management, and government decision makers.

• Collaborate to document and support software analytics.

Qualifications:

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

• B.S. in Computer Science, Mathematics, Engineering, or related field, with emphasis on data science or applied math strong problem solving skills.
• A minimum of 5 years of relevant technical experience, along with proficiency with some of the following implementation languages: Python, R, Matlab, Java, or Kotlin.
• Experience with data processing libraries such as numpy, scipy, pandas, and matplotlib.
• Experience in AI and machine learning (ML)

• Excellent verbal and written communication skills strong analytical and organizational 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 qualifications if you have ...

• Master's degree or higher in Computer Science, Mathematics, Engineering, or related field, with emphasis on data science or applied math.
• A proven track record in developing and communicating analyses of large real-world data sets.
• Experience with data-driven model development, time series analytics, stochastic optimization, estimation, predictive analytics, communicating uncertainty, and more.
• Experience working within agile software teams experience with git/gitlab and software engineering practices.

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.