What We Do:

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!

Requirements:

• 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

Desired Experience:

• 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

CMU's COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Those granted an exemption must comply with all applicable COVID-19 mitigation requirements, including use of facial coverings, daily self-assessment and weekly Tartan Testing.

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