Johns Hopkins Applied Physics Laboratory

During the COVID-19 pandemic this has meant leaning into the public and federal pandemic response: owning the data engineering efforts behind the Johns Hopkins University COVID-19 Dashboard and Coronavirus Resource Center, and driving analysis and engineering efforts that influence decisions at the highest levels of government.. Have prior experience with a subset of: Deep Learning, Reinforcement Learning, Probabilistic Modeling, Dynamic Systems Modeling, NLP, Knowledge Graphs, Model Based Systems Engineering.. The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges.. At APL, we celebrate our differences and encourage creativity and bold, new ideas.. APL's campus is located in the Baltimore-Washington metro area.

data scientist

Description Are you passionate about translating your academic career into building solutions to some of our nation's most pressing challenges? Are you searching for engaging, impactful work and personal growth? Do you value working in a creative and collaborative environment? If so we're looking for someone like you to join our team! In the Decision Systems Group (QAX) we strive to make "Critical Contributions to Critical Challenges", positively impacting national security. During the COVID-19 pandemic this has meant leaning into the public and federal pandemic response: owning the data engineering efforts behind the Johns Hopkins University COVID-19 Dashboard and Coronavirus Resource Center, and driving analysis and engineering efforts that influence decisions at the highest levels of government. Our work has been recognized by Time Magazine as one of the "Best Inventions of 2020", and our team was named Fast Company's 2021 Innovative Team of the Year. Beyond this, we bring our talents to a wide range of challenges, making impactful contributions to problems in health and bio-security, homeland protection, cyber security, and military special operations. We are problem solvers committed to making a difference who are looking for teammates who will bring their passion and dedication to our work. In QAX, you will help design, develop, and deploy systems to address complex problems and enable decision making. Ideally, you are a systems thinker who takes initiative in solving problems based on your solid mathematical and engineering foundations. If you are willing to collaborate and grow as part of a diverse team of data scientists and engineers, our group may be a place for you to thrive. On our team you will: <ul>
<li>Design and prototype innovative approaches that advance our capacity for defensible decision making at speed and scale.</li>
<li>Manage a research agenda related to some of our key focus areas: decision science, digital engineering, AI/ML, predictive and prescriptive modeling, information visualization, data and software engineering.</li>
</ul> Qualifications You meet our minimum qualifications for the job if you... <ul>
<li>Possess a terminal degree (PhD or DEng) in Computer Science, Mathematics, Physics, Systems Engineering, or a related field.</li>
<li>Are self-motivated and self-directed, with a strong intellectual curiosity and a desire to learn from those around you.</li>
<li>Are proficient in one or more programming languages, including: Python, Java, C, C++, Javascript.</li>
<li>Possess outstanding written and oral communication skills, organizational skills, and a proficiency at relationship building.</li>
<li>Are able to obtain an Interim Secret Clearance by your start date and can ultimately obtain a Secret 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.</li>
</ul>
 You'll go above and beyond our minimum requirements if you... <ul>
<li>Have prior experience with a subset of: Deep Learning, Reinforcement Learning, Probabilistic Modeling, Dynamic Systems Modeling, NLP, Knowledge Graphs, Model Based Systems Engineering.</li>
<li>Have a record of communicating analyses of real-world data sets to audiences with broadly varying technical backgrounds.</li>
</ul>
 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 <a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="89c8eaeae6e4e4e6ede8fde0e6e7fac9e3e1fce8f9e5a7ecedfc">[email protected]</a>. 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.

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