**Applications are reviewed on a rolling basis, please don’t wait until the deadline to apply online here**
The Research Associate (RA) position reports directly to faculty supervisors in the Marketing unit and administrative manager in the Research Staff Services office. Ideal RA candidates will be comfortable in an environment that requires a high level of independence, intellectual curiosity, and the ability to use discretionary judgment. Under the general direction of faculty member(s), RAs will collect and analyze big data; estimate statistical and machine learning models; design and conduct online experiments; conduct academic literature search; contribute to scholarly research products including but not limited to journal articles, working papers, and presentations.
Work under the general direction of faculty members in the Marketing unit on topics central to HBS research agenda.
Independently manage all timelines and deliverables. Exercise independent decision making with regard to progression of research project and methodologies. Must be able to structure assignments and keep faculty member informed as necessary, using own judgment.
The qualified individual should demonstrate strong skills of:
- Programming and engineering, including Python (must), Bash script, SQL, and preferably C++.
- Statistical analysis in R (must), and preferably STATA or MATLAB
- Strong background in mathematics.
- Develop, synthesize, and provide analysis of data exhibits for academic journal articles.
RA must also ensure compliance with department, University, and federal regulations. Complete work with only general direction. Be aware of department, School, University policies and potential outside research policies.
Other duties as assigned.
Bachelor’s degree required. Demonstrated experience using Python and R required.
Additional Qualifications and Skills
Strong preference for candidates with a background in Computer Science, Econometrics, Statistics or Data Science.
The candidate must have extremely high standards in terms of quality of work, especially concerning data quality. He or she will work on projects involving collecting, experimenting and analyzing very large sets of diverse data to understand consumer behavior.
Attention to detail, strong organizational skills, and absolute commitment to task completion are a must. Evidence of outstanding academic achievement, strong mathematics background, and the ability to establish strong engineering and research skills in big data are essential.
This is a full-time term appointment starting this spring (start date flexible) through June 30, 2022 with strong potential for reappointment. All Research Associate roles at HBS are structured as term appointments. Preference for candidate who plans to seek an advanced degree.
Applications will be considered on a rolling basis, a cover letter and resume are required for full consideration. Upon the review of application materials, applicants may be asked to submit a writing sample, transcript(s), and code sample.
While we continue to monitor the evolving COVID-19 guidelines and restrictions, we appreciate your understanding and flexibility with our interview process. Please note that we will be conducting interviews virtually (phone and/or Zoom) for selected candidates until further notice.
Harvard Business School will not offer visa sponsorship for this opportunity.
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