Position Summary
Employment Type
Full-time or Part-time (depending on the qualifications and availability of the successful candidate)
Responsibilities
- Python programming to process large volume unstructured datasets
- Implement LLM and Machine Learning algorithm
- Conduct statistical analysis in SAS or Stata
- Assistant with other ad hoc tasks
Qualifications
Required Education
- Bachelors or Masters degree in computer science economics data science or related fields.
Required Experience
- Prior experience in working with large unstructured datasets
- Prior experience in using US research database or datasets such as WRDS 10K reports Conference Transcripts Court filings
- Understand econometric modelling.
- Understand US institutional environment
Required Knowledge Skills and Abilities
- Proficiency in English.
- Ability to work independently
- Attention to details
- Ability to multitasking
Application Process
Applicants are asked to submit a curriculum vitae and cover letter addressing research and academic interests. Review of applications will begin immediately and will continue until the position is further questions on the position details please contact Sterling Huang at
Additional Information
About NYU Shanghai
NYU Shanghaiis Chinas first Sino-US research university and the third degree-granting campus of the NYU Global Network. We were founded in 2012 by New York University and East China Normal University with the support of the city of Shanghai and the district of Shanghai seeks to cultivate globally-minded graduates through innovative teaching world-class research and a commitment to public service.
NYU Shanghai is an equal opportunity employer committed to equity diversity and social inclusion. We are proud of its diverse and talented staff members who work together to build and sustain this unique and pioneering institution of higher education in China.
For more information about NYU Shanghai please visit can also follow our official WeChat Account:NYUShanghaiRecruitfor more updated news.
Required Experience:
IC
Position SummaryEmployment TypeFull-time or Part-time (depending on the qualifications and availability of the successful candidate)ResponsibilitiesPython programming to process large volume unstructured datasetsImplement LLM and Machine Learning algorithmConduct statistical analysis in SAS or Stata...
Position Summary
Employment Type
Full-time or Part-time (depending on the qualifications and availability of the successful candidate)
Responsibilities
- Python programming to process large volume unstructured datasets
- Implement LLM and Machine Learning algorithm
- Conduct statistical analysis in SAS or Stata
- Assistant with other ad hoc tasks
Qualifications
Required Education
- Bachelors or Masters degree in computer science economics data science or related fields.
Required Experience
- Prior experience in working with large unstructured datasets
- Prior experience in using US research database or datasets such as WRDS 10K reports Conference Transcripts Court filings
- Understand econometric modelling.
- Understand US institutional environment
Required Knowledge Skills and Abilities
- Proficiency in English.
- Ability to work independently
- Attention to details
- Ability to multitasking
Application Process
Applicants are asked to submit a curriculum vitae and cover letter addressing research and academic interests. Review of applications will begin immediately and will continue until the position is further questions on the position details please contact Sterling Huang at
Additional Information
About NYU Shanghai
NYU Shanghaiis Chinas first Sino-US research university and the third degree-granting campus of the NYU Global Network. We were founded in 2012 by New York University and East China Normal University with the support of the city of Shanghai and the district of Shanghai seeks to cultivate globally-minded graduates through innovative teaching world-class research and a commitment to public service.
NYU Shanghai is an equal opportunity employer committed to equity diversity and social inclusion. We are proud of its diverse and talented staff members who work together to build and sustain this unique and pioneering institution of higher education in China.
For more information about NYU Shanghai please visit can also follow our official WeChat Account:NYUShanghaiRecruitfor more updated news.
Required Experience:
IC
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