Columbia Business School is seeking to hire a Staff Associate in the Marketing Division.
Under the guidance of the Marketing faculty liaison and Director of Research and Planning, the Staff Associate will take an active role in ongoing research projects in the Division of Marketing. The work will include quantitative and qualitative research and analysis, 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 business research, with a special focus on fields such as marketing, statistics, and economics; and would be ideal preparation for a Ph.D. program or other graduate study.
All duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics.
(30%) Collect, clean, and maintain computer data sets and databases. Assist with data entry and ensure data integrity. Extract and link data from multiple databases for analysis. Prepare detailed documentation.
(25%) Develop models and implement program code (STATA, R, Matlab, Python, etc.).
(20%) Perform statistical analysis, including regression analysis.
(15%) Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, websites, and other research outlets.
(10%) Perform case-based research, including work with detailed primary documents.
All applicants should have a Bachelor's degree in or in a quantitative discipline such as Mathematics, Statistics, Engineering. At least 6 months of research experience in a research role as a research assistant during the academic year; or a 3-month summer internship in a research lab, a governmental institution such as the NY Fed, or a corporate research lab.
Specific skills and/or knowledge required for the position.
Programming experience in STATA is required. Strong preference for those who also know Python.
Additional programming experience in one or more of the following languages: R, SQL, SAS, Matlab, and/or C++ is 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
The candidate must be able to work on multiple projects simultaneously
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.