Student Assistant - Data Science

Student Assistant, Data Science

In the role of Student Assistant – Data Science at ASU Enterprise Partners, you will contribute to the development and deployment of data science and AI solutions that create measurable business value. These may include analyses, predictive models, AI‑enabled applications, automations, and other solutions designed to create business value. You will have the opportunity to explore new technologies and approaches, develop practical skills through hands‑on experience, and make meaningful contributions to larger data science and AI initiatives with the support of experienced team members.

Student employees are valued members of the Applied Data Science and Analytics (ADSA) team and have the opportunity to contribute to meaningful initiatives while expanding the technical and professional skills that support future careers in data science, analytics, artificial intelligence, and related fields. This position requires approximately 20 hours per week. It is a hybrid position, with an expectation that the student works approximately 12 of the 20 weekly hours on‑site.

• Contribute to the development, testing, and refinement of data science, analytics, automation, and AI solutions that support business objectives.
• Assist with data analysis, solution testing, validation, and evaluation activities that support the delivery of effective solutions.
• Support the design and implementation of data‑driven and AI‑enabled solutions that create measurable business value.
• Assist with deploying, integrating, testing, and maintaining solutions to ensure they are reliable, scalable, and effective.
• Partner with members of the Applied Data Science and Analytics (ADSA) team and other stakeholders to support organizational objectives.
• Use modern data, analytics, cloud, and AI technologies to develop, evaluate, and support solutions.
• Help evaluate solution performance and contribute to ongoing enhancements based on business needs, feedback, and evolving technologies.
• Communicate progress, results, technical concepts, and recommendations clearly to team members and stakeholders.

• Experience with Python, SQL, and other data analysis tools commonly used in data science, analytics, software development, or artificial intelligence.
• Ability to evaluate information, break down complex problems, and contribute to data‑driven and technology‑enabled solutions.
• Demonstrated curiosity, critical thinking, and a willingness to learn new concepts, tools, and approaches.
• Comfort working with data and applying quantitative or computational methods to practical problems.
• Interest in exploring and applying emerging technologies, methodologies, and tools in support of business objectives.
• Ability to communicate technical concepts, progress, findings, and recommendations clearly to both technical and non‑technical audiences.
• Willingness to work effectively as part of a team, contribute to shared goals, and engage constructively with feedback.
• Ability to work across a variety of projects and responsibilities while balancing competing priorities and evolving requirements.

• 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, with 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.

• Completion of an internship, research project, capstone, student organization project, or other hands‑on experience involving data analysis, software development, artificial intelligence, analytics, automation, or related technical work.
• Experience contributing to the development, testing, deployment, or support of technical solutions in academic, research, extracurricular, or professional settings.

• Exposure to programming, data analysis, cloud technologies, artificial intelligence, automation, or related…