Academic / College and University, Data Science/Mining, Decision Analysis/Science, Operations Management, Programming, Statistics
4 Year Degree
Columbia Business School is seeking to hire one of more Staff Associates of research for the Decision, Risk, and Operations (DRO) division. The work will include quantitative and qualitative research and analysis involving the collection, coordination and management of information and data, development and implementation of computer models and simulations, development of research materials (figures, presentations, papers, etc.) and work on special projects relating to pertinent fields of research within the division. This position provides an opportunity to gain experience in academic research, with a special focus on fields such as operations research, operations management, statistics, and economics, and would be ideal preparation for a PhD program or other graduate study.
Specific duties include: • Collect, clean, and maintain datasets and databases. Extract and link data from multiple databases for analysis. Prepare detailed documentation. • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.). • Perform statistical analysis, including regression analysis and machine learning techniques. • Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, web sites, and other research outlets. • Perform case-based research, including work with detailed primary documents.
Applicants for Staff Associate position are expected to have the following:
• At least 6 months of experience in a research role as a research assistant. • Programming experience in one or more of the following languages: Python or R is required. • Programming experience in Matlab, SQL, and/or C++ is preferred. • Expertise in processing large volumes of data, and algorithm design expertise. • Experience in market design applications preferred. • Familiarity with statistical tools such as linear regression is required. • Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred. • Demonstrated exceptional written and oral communications skills needed – writing sample is required. • Candidate must be able to work on multiple projects simultaneously.
Columbia University is an Equal Opportunity/Affirmative Action employer. Women and minorities are especially encouraged to apply.
The application must include your CV, transcripts, writing sample, and three reference letters.
Please visit our online application site at the Columbia University RAPS site (or copy and paste the URL below) for further information about this position and to submit your application. NOTE: If the application link is not yet active, please visit it again a day later.