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Data Science Intern - Summer 2025

Carnegie Mellon University
vision insurance, paid time off
United States, Pennsylvania, Pittsburgh
5000 Forbes Avenue (Show on map)
Jan 28, 2025

At the SEI CERT Cyber Risk and Resilience Directorate, we enable organizations to achieve operational resilience by performing research in emerging areas of operational risk, producing measurement and assessment tools that help organizations better understand their current risk and resilience posture, and developing and validating models, frameworks, and controls that improve organizations' risk and resilience posture. The Insider Risk team focuses its research on developing methods for preventing, detecting, and mitigating insider risk.

Fundamental to our insider risk work is our large corpus of insider threat data, called MERIT. The intern will work with SEI staff to collect, interpret, and visualize data from MERIT in preparation for publication of a report on trends in insider threat. Contributions from the internship could extend into research on patterns and trends in insider threat data, web front end development, or identification of new data types for collection.

Requirements:

  • Current enrollment in an undergraduate or graduate degree granting program.

  • Able to work an internship schedule during the summer semester.

  • Able to come on-site to the SEI Pittsburgh office.

  • Candidates will be subject to a background check.

  • Candidates for this position must be eligible to work in the United States without Visa sponsorship.

  • Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity.

Relevant knowledge, skills, and abilities include:

  • At least 2 semesters of courses related to data science or data analysis (data science, statistics, data visualization, programming for data science, machine learning, etc.)

  • Basic proficiency in programming for data science (preferably Python)

  • Strong writing skills

Ideal candidate would also have:

  • Strong Python programming skills

  • Basic machine learning skills

Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees.

Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance.

Other perks include a free Pittsburgh Regional Transit bus pass, our Family Concierge Team to help navigate childcare needs, fitness center access, and so much more!

For a comprehensive overview of the benefits that may beawaiting you, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse perspective you bring. 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.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Non-CMU Students

Position Type

Intern (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Hourly

More Information:

  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.

  • Statement of Assurance

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