Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cyber security challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cyber security professionals and university faculty to build new technologies that will influence national cyber security strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoD sponsors and at academic conferences.
Our team works on a wide range of projects. Some of our current work includes developing metrics and experimental designs for large-scale cyber security research programs, researching human-in-the-loop machine learning, and building classifiers to identify security vulnerabilities in code. Additionally, we have burgeoning work in deep fake video creation and detection, data visualization, and natural language processing. We have access to a wide variety of cyber-related data, including malware samples, netflow data, cyber security training runs and tests, incident tickets, and more. If you are a data science or statistics expert with an interest in cyber security, we want to hear from you!
BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with ten (10) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience.
Willingness to complete modest travel to various locations to support the SEI's overall mission.
You will be subject to a background investigation and you must have the ability to obtain and maintain a U.S. Department of Defense security clearance.
Knowledge, Skills and Abilities:
Deep understanding of statistical modeling techniques and advanced data analytics
Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas, MATLAB, etc.)
Innovative and inquisitive with ability to imagine novel analytical solutions to problems
Expertise in one or more of the following: machine learning techniques (e.g., K-means, SVM, neural networks), data visualization, natural language processing, AI engineering, digital forgery
Thrives in a multi-disciplinary environment
Strong communication skills
Experience in predictive modeling, data science, or machine learning
Experience applying software engineering techniques in solution development
Experience in cybersecurity and privacy is a plus
Demonstrated ability to learn new concepts and grow into new areas of work
Experience supporting test and evaluation for large-scale government research programs is a plus
COVID-19 Condition of Employment
As a condition of employment, Carnegie Mellon University requires all staff and faculty working in Pennsylvania, California, Washington D.C., New York and Virginia to be fully vaccinated against COVID-19. Prior to commencement of employment, new hires must provide proof of their vaccination or have an approved exemption.
New employees requesting a medical , religious or strong moral or ethical conviction exemption from the vaccine must complete and submit an exemption request form for review and approval. To receive the appropriate exemption request form, contact email@example.com . Employees with approved exemptions will be required to comply with all applicable COVID-19 mitigation requirements including use of facial coverings, Daily Self-Assessment and Weekly Tartan Testing.
Staff - Regular
Full time/Part time
Salary More Information:
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Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.