Data Scientist
Not Disclosed•Full-TimeOn-site
location_onLogan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
About the Team
Data Scientists at the SEI (Science and Engineering Institute) leverage advanced statistics, data analytics, machine learning, and artificial intelligence to help government and industry clients research and solve critical cybersecurity challenges. Our team collaborates with elite cybersecurity professionals and university faculty to build new technologies that influence national cybersecurity strategy for decades to come.
Our work spans a wide range of cutting-edge projects, including research in generative AI, large language models, computer vision, multimodal AI, and agentic AI. We also craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities.
About the Role
In this position, you will partner directly with customers to identify areas where advanced statistical techniques can tackle complex problems. Your day-to-day will involve planning and developing prototype solutions, building out final products, co-authoring research proposals, executing studies, and presenting findings to Department of War sponsors and at academic conferences.
You will join a multi-disciplinary environment where you can imagine novel analytical solutions to problems. This role is ideal for a data science or statistics expert with a passion for cybersecurity who wants to contribute to high-impact research that shapes the future of national security.
Joining the CMU Team
Joining the CMU team opens the door to an array of exceptional benefits. Beyond competitive compensation, we value the whole package when extending offers of employment. We evaluate the role, your valuable work experience, and the knowledge gained through education and training, appreciating your unique skills and perspective. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Hiring Process & Application
Are you interested in an exciting opportunity with an exceptional organization? Apply today to become part of an institution inspiring innovations that change the world.
Important Requirements: Candidates must be willing to complete modest travel to various locations to support the SEI's overall mission. Additionally, all selected candidates will be subject to a background check and must be able to obtain and maintain a U.S. Department of War security clearance.
Equal Opportunity
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. We consider qualified applicants regardless of background.
Work location
Work model: On-site
Logan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
Pittsburgh, Pennsylvania
Key Responsibilities
- check_circleIdentify areas where advanced statistical techniques can help tackle cybersecurity problems
- check_circlePlan and develop prototype solutions for data science challenges
- check_circleBuild out final products using machine learning and AI technologies
- check_circleCo-author research proposals and execute studies for government sponsors
- check_circlePresent findings to Department of War sponsors and at academic conferences
- check_circleDevelop metrics and experimental designs for large-scale cybersecurity research programs
- check_circleBuild classifiers to identify security vulnerabilities in AI systems
- check_circleCraft human-in-the-loop machine learning solutions for cybersecurity applications
Requirements
- verifiedBS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with 8 years of experience
- verifiedMS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with 5 years of experience
- verifiedPhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with 2 years of experience
- verifiedAbility to obtain and maintain a U.S. Department of War security clearance
- verifiedProficiency with at least one mathematical/statistical programming package (e.g., R, Python, MATLAB)
- verifiedExperience in predictive modeling, data science, and/or AI & machine learning
- verifiedDeep understanding of statistical modeling techniques and advanced data analytics
- verifiedExpertise in one or more: Recommendation systems, Time-series forecasting, NLP/LLMs, Causal inference, Modern ML frameworks, LLMs/agentic workflows, Model deployment, or Big data
Nice to Have
Experience in cybersecurity and privacy. Experience in U.S. Government work and/or with FFRDCs, UARCs, or National Labs. Demonstrated ability to learn new concepts and grow into new areas of work.
Benefits & Perks
check_circleComprehensive medical, prescription, dental, and vision insurancecheck_circleGenerous retirement savings program with employer contributionscheck_circleTuition benefitscheck_circleAmple paid time off and observed holidaysLife and accidental death and disability insurance
Similar Job Opportunities
Skills, education and keywords
Skills: Advanced Statistics, Data Analytics, Machine Learning, Artificial Intelligence, Generative Ai, Large Language Models, Computer Vision, Multimodal Ai, Agentic Ai, Statistical Modeling.
Education: PhD in data science, machine learning, computer science, statistics, or related discipline with 2 years experience.
Frequently asked questions about Data Scientist at Software Engineering Institute | Carnegie Mellon University
What does a Data Scientist at Software Engineering Institute | Carnegie Mellon University do?expand_more
A Data Scientist at Software Engineering Institute | Carnegie Mellon University is responsible for the following: Identify areas where advanced statistical techniques can help tackle cybersecurity problems; Plan and develop prototype solutions for data science challenges; Build out final products using machine learning and AI technologies; and Co-author research proposals and execute studies for government sponsors.
What are the requirements for this Data Scientist role?expand_more
Software Engineering Institute | Carnegie Mellon University is looking for candidates who meet the following requirements: BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with 8 years of experience; MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with 5 years of experience; PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with 2 years of experience; Ability to obtain and maintain a U.S. Department of War security clearance; Proficiency with at least one mathematical/statistical programming package (e.g., R, Python, MATLAB); and Experience in predictive modeling, data science, and/or AI & machine learning.
Where is the Data Scientist role at Software Engineering Institute | Carnegie Mellon University located?expand_more
Data Scientist at Software Engineering Institute | Carnegie Mellon University is based in Logan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States. This is a on-site role.
Is this Data Scientist job remote, hybrid, or on-site?expand_more
Software Engineering Institute | Carnegie Mellon University has listed this Data Scientist role as on-site.
How much experience is required for this Data Scientist role?expand_more
Data Scientist at Software Engineering Institute | Carnegie Mellon University typically requires 2–8 years of relevant experience at the senior level.
What skills do you need for the Data Scientist role at Software Engineering Institute | Carnegie Mellon University?expand_more
Key skills for Data Scientist at Software Engineering Institute | Carnegie Mellon University include Advanced Statistics; Data Analytics; Machine Learning; Artificial Intelligence; Generative Ai; Large Language Models; Computer Vision; and Multimodal Ai.
What education is required for Data Scientist at Software Engineering Institute | Carnegie Mellon University?expand_more
Educational requirements for this role: PhD in data science, machine learning, computer science, statistics, or related discipline with 2 years experience.
What category does the Data Scientist role belong to?expand_more
Data Scientist at Software Engineering Institute | Carnegie Mellon University is part of the it job category on Recrutus.