Hybrid Data Science Student Assistant — AI & Analytics

Arizona State University; United States; Hybrid; USD 25,000 - 39,000; Part time

Benefits offered by this job

Cell phone reimbursement

Hands-on experience

Professional development plans

Networking with ASUEP leaders

LinkedIn Learning access

Skills workshops

Job summary

ASU Enterprise Partners is seeking a Student Assistant – Data Science to contribute to the development and deployment of data science and AI solutions that create measurable business value. The role offers hands-on experience with analytics, automation, and cloud-based tools, with about 20 hours per week and a hybrid schedule requiring ~12 hours on-site.

You will support solution development, data analysis, testing, and collaboration with the ADSA team and other stakeholders to advance

Qualifications

• Enrolled in ASU Bachelor’s/Master’s program with Fall 2027 or later.
• Experience with Python, SQL, data analysis.
• Internship or project-based experience in data science preferred.
• Willingness to deploy data solutions on cloud platforms.

Responsibilities

• Solution Development: develop, test, and refine data science, analytics, automation, and AI solutions.
• Analysis & Evaluation: assist with data analysis, testing, validation, and evaluation activities.
• Solution Design & Implementation: support design and implementation of data-driven solutions.
• Deployment & Integration: assist with deploying, integrating, testing, and maintaining solutions.
• Collaboration: work with ADSA team and stakeholders.
• Technology Application: use data, analytics, cloud, and AI technologies.
• Continuous Improvement: help evaluate performance and contribute to enhancements.
• Communication: clearly convey progress, results, and recommendations.

Skills

Python

SQL

Data analysis

Analytical thinking

Problem solving

Communication skills

Collaboration

Adaptability

Education

ASU student (Bachelor/Master)

Tools

Google Cloud Platform

BigQuery

AWS

Azure

Job description

ASU Enterprise Partners is seeking a Student Assistant – Data Science to contribute to the development and deployment of data science and AI solutions that create measurable business value. The role offers hands-on experience with analytics, automation, and cloud-based tools, with about 20 hours per week and a hybrid schedule requiring ~12 hours on-site.

You will support solution development, data analysis, testing, and collaboration with the ADSA team and other stakeholders to advance