Data Scientist
CMU AI · 2 Locations
Research instituteonsitesenior
At a glance
Highlights
- Apply advanced statistics and AI to solve cybersecurity challenges.
- Build technologies shaping national cybersecurity strategy for decades.
- Co-author proposals and present findings to DoW sponsors and conferences.
What they offer
- Comprehensive medical, prescription, dental and vision insurance
- Generous retirement savings program with employer contributions
- Tuition benefits
- Paid time off and observed holidays
- Life and accidental death and disability insurance
- Free Pittsburgh Regional Transit bus pass, fitness center access and family concierge support
Ideal candidate
A curious quantitative thinker with 2-8 years of experience who thrives in multidisciplinary teams. You love applying statistics and AI to hard problems and are excited by cybersecurity research with national impact.
Requirements
- BS in data science, machine learning, computer science, statistics or related quantitative field with 8 years experience, or MS with 5 years, or PhD with 2 years
- Experience in predictive modeling, data science and/or AI & machine learning
- Deep understanding of statistical modeling techniques and advanced data analytics
- Proficient with R, Python (numpy/scipy/pandas/polars), MATLAB or similar
- Strong communication skills and ability to thrive in multidisciplinary environment
- Willingness to travel modestly and ability to obtain and maintain U.S. Department of War security clearance
Lab profile
About CMU AI
Carnegie Mellon applied AI research spanning robotics, autonomy, and cybersecurity for defense.
What they build
- Multimodal behavior analysis algorithms
- Autonomy systems
- Cybersecurity analytics prototypes
Known for
- Multimodal machine learning
- Computer vision and human behavior modeling
- AI engineering for defense
- Software engineering and cyber resilience
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