This position requires approximately 20 hours per week. This is a hybrid position, with an expectation that the student works approximately 12 of the 20 weekly hours on-site.
What you’ll do
Solution Development: Contribute to the development, testing, and refinement of data science, analytics, automation, and AI solutions that support business objectives.
Analysis & Evaluation: Assist with data analysis, solution testing, validation, and evaluation activities that support the delivery of effective solutions.
Solution Design & Implementation: Support the design and implementation of data-driven and AI-enabled solutions that create measurable business value.
Deployment & Integration: Assist with deploying, integrating, testing, and maintaining solutions to ensure they are reliable, scalable, and effective.
Collaboration: Partner with members of the Applied Data Science and Analytics (ADSA) team and other stakeholders to support organizational objectives.
Technology Application: Use modern data, analytics, cloud, and AI technologies to develop, evaluate, and support solutions.
Continuous Improvement: Help evaluate solution performance and contribute to ongoing enhancements based on business needs, feedback, and evolving technologies.
Communication: Communicate progress, results, technical concepts, and recommendations clearly to team members and stakeholders.
What you'll need
Technical Foundation: Experience with Python, SQL, and other data analysis, or technical tools commonly used in data science, analytics, software development, or artificial intelligence.
Analytical Thinking: Ability to evaluate information, break down complex problems, and contribute to data-driven and technology-enabled solutions.
Problem Solving: Demonstrated curiosity, critical thinking, and a willingness to learn new concepts, tools, and approaches.
Quantitative Reasoning: Comfort working with data and applying quantitative or computational methods to practical problems.
Technical Learning Agility: Interest in exploring and applying emerging technologies, methodologies, and tools in support of business objectives.
Communication Skills: Ability to communicate technical concepts, progress, findings, and recommendations clearly to both technical and non-technical audiences.
Collaboration: Willingness to work effectively as part of a team, contribute to shared goals, and engage constructively with feedback.
Adaptability: Ability to work across a variety of projects and responsibilities while balancing competing priorities and evolving requirements.
Relevant qualifications
Currently enrolled in a Bachelor's, Master's, or other graduate degree program at Arizona State University in a technical, quantitative, or analytical discipline, or a related field. Must have an expected graduation date of Fall 2027 or later.
Has developed foundational knowledge and skills relevant to data science, analytics, software development, artificial intelligence, or related areas through coursework, projects, research, or practical experience.
Preferred education and experience
Completion of an internship or project-based experience in a relevant area such as data science, data analytics, data engineering, or machine learning engineering.
Experience with deploying data solutions, preferably using cloud-based platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
Preferred skills and abilities
Technical Experience: Exposure to programming, data analysis, cloud technologies, artificial intelligence, automation, or related technical disciplines through coursework, projects, research, internships, or personal initiatives.
Data & Analytics Experience: Familiarity with working with structured or unstructured data to support analysis, reporting, decision-making, or solution development. Exposure to Google Analytics (GA4) is a plus.
Artificial Intelligence Exposure: Exposure to modern artificial intelligence concepts, tools, or applications and an interest in their practical use to solve real-world problems.
Cloud & Technology Platforms: Familiarity with cloud-based or distributed computing environments and an understanding of how technology components can be integrated to support scalable solutions. Experience with Google Cloud Platform (GCP) and BigQuery is a plus.
Solution Development Mindset: Interest in designing, building, testing, and continuously improving technical solutions that create measurable value.
Continuous Learning: Demonstrated enthusiasm for learning new technologies, methodologies, and approaches and applying them to evolving business challenges.
Benefits
$30 bi-weekly cell phone reimbursement
Hands-on experience in a professional environment
Professional development plans
Opportunity to network with ASUEP leaders and other ASU students
Access to LinkedIn Learning and their 8,000+ courses
Professional skills workshops
About ASU Enterprise Partners
ASU Enterprise Partners is a nonprofit organization whose mission is to provide an ecosystem of services to create solutions and generate resources to extend Arizona State University’s reach and advance its charter. ASU Enterprise Partners supports ASU and several affiliates, including the ASU Foundation for a New American University, ASU Outreach Hub, ASURE, NEWSWELL, Skysong Innovations and University Realty.
ASU Enterprise Partners is home to several Centers of Excellence whose purpose is to provide professional services to its affiliates. The Centers of Excellence include Finance, General Counsel, Investments, Public Relations and Strategic Communications, Human Resources, Facilities and Operations, Data Analytics and Insights Planning, Budgeting and Strategy, and Technology and Solutions.
At ASU Enterprise Partners
We serve
ASU and one another with integrity, trust and compassion
We engage
step up, own it, collaborate
We innovate.
continuously, fearlessly, make decisions and take risks
We care
that everyone feels respected and valued for who they are
ASU Enterprise Partners is an Equal Opportunity Employer
