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Data Scientist

The Johns Hopkins University Applied Physics Laboratory
life insurance, paid time off
United States, Maryland, Laurel
11100 Johns Hopkins Road (Show on map)
Nov 19, 2024
Description

Do you love developing creative solutions to challenging problems?

Are you passionate about providing real impact to the country's toughest national security problems?

Are you searching for engaging work with an employer that prioritizes continual innovation?

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

The Decision Systems Group (QAX) harness the power of data science, decision science, and software and systems engineering to deliver actionable insights for our nation's response in critical moments. We support multiple agencies within the US Government by developing innovative analytics systems to uncover activities such as epidemic hotspots, illegal activities, anomalous behavior, and cyber-crime. You will implement and apply computationally tractable data science solutions and corresponding data architectures to address the needs of our sponsors. We are seeking a confident leader, creative thinker, motivated problem solver, standout colleague, and life-long learner that wants to strengthen the safety and security of our country. You will join a hardworking team in an inclusive environment that cultivates intellectual curiosity, innovation and creativity.

As a Data Scientist you will...

  • Work with multi-disciplinary teams to develop data collection, processing, and analytic pipelines for analyzing large-scale, complex data
  • Develop AI/ML algorithms to describe data, predict events, and prescribe courses of action that directly reflect the Sponsor's needs and support the Sponsor's decision-making activities
  • Collaborate with developers and engineers to develop data architectures and software applications to support analytic algorithms.
  • Clearly present and communicate results to both JHU/APL and Sponsor leadership.
  • Potentially travel locally to sponsor sites on an occasional basis.

Qualifications

You meet our minimum qualifications for this position if you...

  • Possess a B.S. in Computer Science, Information Science, Mathematics, Physics, Operations Research, or a related discipline. plus a minimum of 3 years of relevant experience.
  • Have experience with statistics, machine learning algorithms, or general algorithm development.
  • Have a knowledge of modern large-scale data systems and architectures.
  • Possess solid software development skills.
  • Exhibit excellent social skills, the ability to work independently, excellent written and oral communications skills, and good organizational skills.
  • Are able to acquire a Secret level clearance. If selected, you will be subject to a government security clearance investigation and 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 a M.S. or Ph.D. in the disciplines listed above, and have working knowledge of state-of-the-art large-scale data approaches and architectures. e.g. experience with quantum algorithms.
  • Are experienced with software engineering processes and techniques.
  • Are experienced with graph databases and analytics

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 Annually

Maximum Rate

$220,000 Annually
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