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.
Model Building
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.
Potential Future Career Benefits
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.
Portfolio Building
Generate tangible results and research experience that can be discussed in future job interviews.
Mentorship
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
Application Instructions
- Complete the ADP application by selecting "Apply" button and answer all questions.
- Supervisor: Mehwish Abbasi
- Commitment: 5-8 hours per week
- Term: Fall 2026 only
Job description provided by Ohio Wesleyan University.
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