We are the Tepper School of Business, where human intelligence unlocks the power of data. As part of Carnegie Mellon University, we're uniquely positioned at the intersection of business, technology and human creativity to tackle modern challenges.
Our approach goes beyond a traditional business education. We empower you to harness artificial intelligence (AI) and other advanced tools through experimental, hands-on learning. At the same time, you build ethical and equitable leadership skills to help your team and company grow
Carnegie Mellon University’s Tepper School of Business is searching for a Research Assistant to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by providing support an academic research project involving large-scale data analysis. This role will work with Professors Mohsen Foroughifar, Joy Lu, and Minkyung Kim on data processing, statistical/econometric modeling, and research workflow support.
Core responsibilities include:
Clean, merge, and process large-scale datasets; develop reproducible data pipelines.
Conduct statistical analyses and econometric modeling in support of research hypotheses.
Implement and document code in Python (preferred), including data manipulation and estimation routines.
Produce tables, figures, and written summaries of results for internal research use.
Support robustness checks, validation analyses, and sensitivity analyses.
Maintain clear documentation, version control practices, and organized project files.
Collaborate closely with faculty supervisors; participate in regular check-ins and respond to iterative analysis requests
Other duties as assigned
Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.
You should demonstrate:
Strong Python skills for data analysis (e.g., pandas/numpy/statsmodels or equivalent).
Familiarity with econometrics and statistical analysis (e.g., regression, causal inference basics, panel data, clustering/robust SEs—depending on project needs).
Experience working with large datasets (performance-aware data handling, efficient workflows).
Strong attention to detail, ability to write clean and reproducible code, and ability to communicate results clearly.
Qualifications:
Bachelor’s degree in a field closely related to Marketing, Information Systems, Statistics, Economics, Business Analytics, Computer Science, or a related discipline required; Master’s degree preferred
3-5 years prior research experience (academic or industry research setting) required
Experience with big-data tooling (e.g., SQL, Spark/Databricks, cloud computing) is a plus.
Experience with version control (Git/GitHub) and reproducible research practices.
A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.
Requirements:
Successful completion of a pre-employment background check
Additional Information:
Work Posture: This position is operating on a hybrid schedule, with an on-campus/in-office presence three days a week.
This is a part-time (20 hours/week), non-exempt position based in Pittsburgh, PA.
Fixed Term: This is a fixed-term position with an estimated duration of two months.
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the 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, PAJob Function
ResearchersPosition Type
Staff – Fixed Term (Fixed Term)Full Time/Part time
Part timePay Basis
HourlyMore Information:
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Click here to view a listing of employee benefits
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.