Data Science Research Assistant - Water Analytics (Student)

Ohio Wesleyan University; Delaware (OH); On-site; USD 18,000 - 26,000; Full time

Job summary

Ohio Wesleyan University is seeking an undergraduate Data Science Research Assistant in Delaware, OH to support a real-world analytics project for a water utility. You will help identify datasets, perform EDA, and develop predictive models under faculty guidance.

Requirements include enrollment in Data Analytics, CS, or Mathematics and coursework like CS 300. Proficiency with Python data science libraries is preferred, with strong independent work and documentation skills emphasized.

Qualifications

• Enrolled as an undergraduate in Data Analytics, Computer Science or Mathematics.
• Completed CS 300: Data Mining and Machine Learning or equivalent.
• Experience with Python-based data science libraries (NumPy, pandas, scikit-learn) preferred.
• Ability to work independently, manage time effectively and document work clearly.
• Apply theoretical knowledge to a live industry project with a water utility company.
• Gain end-to-end data science skills from discovery to model building.

Responsibilities

• Data Discovery & Research: Identify suitable data sources for research problems in water utility operations.
• Data Exploration & Analysis: Conduct Exploratory Data Analysis to understand data structure.
• Feature Selection: Identify key variables and design/validate predictive models.
• Documentation: Clearly document methods, data sources and results for future reference.

Skills

Python data science

Independent work

Documentation

Education

Undergrad in Data Analytics/CS/Math

Tools

Python libraries

Job description

Ohio Wesleyan University is seeking an undergraduate Data Science Research Assistant in Delaware, OH to support a real-world analytics project for a water utility. You will help identify datasets, perform EDA, and develop predictive models under faculty guidance.

Requirements include enrollment in Data Analytics, CS, or Mathematics and coursework like CS 300. Proficiency with Python data science libraries is preferred, with strong independent work and documentation skills emphasized.