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Part time - Smeal, Marketing Dept - Research Assistant - Computer Science


PayCompetitive
LocationState College/Pennsylvania
Employment typePart-Time

This job is now closed

  • Job Description

      Req#: REQ_0000065852
      Employer Industry: Higher Education

      Why consider this job opportunity:
      - Compensation consistent with Penn State's standard rates
      - Flexible work hours, up to 10 hours per week
      - Opportunity to work on cutting-edge research projects
      - Collaborate with faculty and graduate students in a dynamic academic environment
      - Gain hands-on experience in data processing and machine learning techniques
      - Contribute to a culture of diversity, equity, and inclusion

      What to Expect (Job Responsibilities):
      - Develop and maintain web scraping scripts to collect data from various online sources
      - Clean, organize, and process structured and unstructured datasets (e.g., text and images)
      - Apply machine learning models to analyze data
      - Collaborate with faculty and graduate students to support ongoing research projects
      - Document code, workflows, and findings in a clear and reproducible manner

      What is Required (Qualifications):
      - Current student at Penn State with a background in computer science and programming
      - Strong skills in web scraping and processing unstructured data (both text and images)
      - Experience with modeling techniques such as machine learning
      - Ability to work collaboratively in a research environment
      - Strong documentation skills for code and workflows

      How to Stand Out (Preferred Qualifications):
      - Previous experience with data analysis or research projects
      - Familiarity with programming languages commonly used in data science (e.g., Python, R)
      - Understanding of data cleaning and preprocessing techniques
      - Interest in machine learning and data modeling
      - Ability to work independently and manage time effectively

      #HigherEducation #ResearchAssistant #DataScience #MachineLearning #DiversityAndInclusion

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      We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.
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