Data Science Research Assistant-SW

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

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Science Research Assistant-SW

Student Delaware, OH, US

3 days ago Requisition ID: 1912

Purpose/Objective of the Role:

The Data Lab is seeking two motivated students to assist with a real-world analytics project for a water utility company. This position places a strong emphasis on research, specifically identifying the right datasets and determining which factors most significantly influence model performance in the context of utility management and resource optimization. The successful candidates will work independently to extract insights and build predictive models that could have tangible industry impact.

Tasks & Responsibilities:

Data Discovery & Research:

• Investigate potential data sources to determine the most suitable data for specific research problems related to water utility operations.

Data Exploration & Analysis:

• Perform Exploratory Data Analysis (EDA) to understand data structure.

Feature Selection:

• Analyze data to identify key variables and determine which factors influence the model's accuracy.
• Design, implement, and validate predictive models using appropriate machine learning algorithms.

Documentation:

• Clearly document all research methods, data sources, and results for future reference.

Qualifications/Skills:

Education:

• Currently enrolled as an undergraduate major in Data Analytics, Computer Science or Mathematics.

Coursework:

• Successful completion of CS 300: Data Mining and Machine Learning (or equivalent coursework/experience).

Technical Skills:

• Experience with Python-based data science libraries (e.g., NumPy, pandas, scikit-learn) is preferred.

Soft Skills:

• Ability to work independently, manage time effectively, and document work clearly.

Industry Application:

• Apply theoretical knowledge to a live industry project with a water utility company, bridging the gap between classroom learning and real-world application.

End-to-End Data Science Skills:

• Gain proficiency in the full data lifecycle, from data discovery and cleaning to feature selection and model building.
• Generate tangible results and research experience that can be discussed in future job interviews.
• Work directly with faculty to refine your technical and research methodologies.

NOTE: Employment sponsorship is not available for this position. Applicants must be currently authorized to work in the United States