Job Information
Pennsylvania State University Part-Time Research Assistant, Data Engineering-Smeal, MKTG in University Park, Pennsylvania
APPLICATION INSTRUCTIONS:
CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ) . Please do not apply here, apply internally through Workday.
CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg) Please do not apply here, apply internally through Workday.
If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants (https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf) .
JOB DESCRIPTION AND POSITION REQUIREMENTS:
A research group within the Marketing Department, Smeal College of Business is in need of a motivated RA with experience in data engineering. This would be a paid position, a resume builder, and an opportunity to network.
Responsibilities may include:
Scraping data from social media platforms, such as Twitter.
Setting up and managing databases, such as SQL.
Cleaning data (e.g., converting files from .pkl files to csv files, and addressing encoding and decoding issues).
Troubleshooting coding issues that arise during data collection and analysis.
Understanding basic statistical knowledge and formatting data for further analysis accordingly.
Requirements:
Preferably, the candidate should have experience in acquiring data from publicly available sources online (e.g., html, API) and managing large amounts of unstructured data. The ideal candidate will have a degree in CSE, IST, or relevant experience such as a software developer.
Possess excellent time management skills and a strong sense of accountability towards meeting deadlines. The workload may vary from week to week, ranging from 10-20 hours of work to zero hours, and the working hours can be adjusted according to the project requirements.
Have a good understanding of, or be driven to acquire knowledge about, different coding languages, tools, packages, such as Python, R, JavaScript, Postman etc.
If you are interested in this position or have further questions, please send us your CV, a description of your fit for the position, and how many hours you can work to the contact information provided. Thank you!
Professor Sean Melessa, melessa@psu.edu
Professor Ning Zhong, nuz85@psu.edu
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