Massachusetts Institute of Technology (MIT)
MIT Open Learning
Career navigation is a perennial challenge for workers and their employers. We are developing a novel approach to understanding pathways to high-quality occupations in advanced manufacturing and other areas. The approach involves examining millions of data points to model career development paths between thousands of occupations.
The principal responsibilities of this position will include preparing and analyzing large datasets; contributing to writing research reports, participating in team discussions, and possibly participating in research interviews; performing qualitative analysis such as understanding and comparing job descriptions; utilizing data analytic skills to answer important questions related to upskilling and talent development; and contributing to other MIT projects as appropriate.
A complete job description is available at https://openlearning.mit.edu/jobs.
- Master’s degree
- Two years of experience
- High-level facility with and experience conducting rigorous analytics on large datasets using R or Python
- Excellent written and oral English communication skills
- Ability to analyze large datasets
- Knowledge of labor economics or HR management
The annual salary for this position will be between $75,000 and $90,000. The final salary will be determined by MIT’s compensation team based on the skills and experience of the selected candidate.
This position will begin on December 1, 2023, or as soon thereafter as possible, and end on October 31, 2024. An extension is possible based on performance and the existence of funding.
Interested candidates may apply online at https://hr.mit.edu/careers. Please reference job number 23394.
Employment is contingent upon the completion of a satisfactory background check.
MIT is an equal employment opportunity employer. We value diversity and strongly encourage applications from individuals from all identities and backgrounds. All qualified applicants will receive equitable consideration for employment based on their experience and qualifications, and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, pregnancy, religion, disability, age, genetic information, veteran status, or national or ethnic origin. See MIT’s full policy on nondiscrimination.