Senior Data Scientist – Navigation Systems at Johns Hopkins Applied Physics Laboratory (APL)

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

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

Are you interested in joining a team of engineers, applied mathematicians and physicists as we pursue innovative solutions to the timely and timeless maritime navigation problem in support of the US Navy?

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

We are the Navigation group in the Force Projection Sector at JHU/APL. We are seeking a senior data scientist to provide technical direction and develop data science solutions to help us ensure the US Navy has the most accurate and reliable navigation systems in the world. You will be joining our team of hardworking engineers, software developers, 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 navigation systems for various US Navy platforms
• Provide technical direction and leadership to navigation subject matter experts on the use of data science techniques for answering critical questions and solving technical challenges with navigation systems
• Develop models and simulations to describe data, predict events, and prescribe a course of action that directly reflect stakeholder’s needs
• Acquire domain knowledge in the field of maritime navigation and use that insight to build forward-thinking analytical solutions to test and evaluate prototype and operational navigation systems
• Use internal funding opportunities to shape the direction of future research
• Circulate knowledge by articulating ideas clearly through effective visualizations, papers, and presentations to technical staff, management, and government decision makers

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

• Have a Masters or PhD in Data Science, Statistics, Mathematics, Computer Science or a related field and 5 years of relevant professional experience
• Have a demonstrated track record of excellence in technical leadership or project management from concept development through execution and close out
• Have experience developing AI/ML algorithms and/or translating mathematical concepts using efficient and well-documented code
• Strong proficiency in developing analytical pipelines, data science applications and dashboard tools, and statistical and machine learning methodologies for specific quantitative goals
• Excellent written and oral communication skills to articulate complex technical issues for a wide range of audiences
• Have an interest in learning about maritime navigation systems
• Have experience with Python and/or MATLAB
• Have experience with using version control software, such as Git
• Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a 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'll go above and beyond our minimum requirements if you...

• Knowledge of MLOps, Agile, and DevOps processes
• Have experience designing and implementing AI/ML algorithms for time series data
• Have demonstrated understanding of US Navy surface and subsurface navigation concepts
• Have familiarity with US Navy Strategic Systems Programs technical and programmatic processes
• Have experience in writing technical proposals or other forms of business development
• Are skilled at building meaningful relationships across organizational boundaries
• Hold an active Top Secret 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.

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 part-time salaried employees, 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, part-time study and training and development. Applications are accepted on a rolling basis.