Student Assistant – Data Science

ASU Enterprise Partners • Scottsdale, AZ

10d • Hybrid

About The Position

ASU Enterprise Partners is seeking a Student Assistant – Data Science to contribute to the development, testing, deployment, and improvement of data science, analytics, automation, and AI solutions that support business objectives and create measurable value. Projects may include data analysis, queries, predictive models, AI-enabled applications, automations, evaluation of AI-generated outputs, and support for deployed solutions. Assignments are intended to align with the student’s technical background and interests while offering hands-on opportunities to develop new skills and contribute to organizational initiatives.

The position is part of the Applied Data Science and Analytics (ADSA) team and involves collaborating with team members and stakeholders, evaluating solutions, supporting reliable and scalable deployment, and communicating progress and findings. The role is approximately 20 hours per week and is hybrid, with approximately 12 weekly hours expected on-site.

ASU Enterprise Partners is a nonprofit organization that provides services and resources to support Arizona State University and its affiliates. The organization describes its culture as grounded in integrity, trust, compassion, collaboration, innovation, and respect.

Requirements

• Currently enrolled in a bachelor's, master's, or other graduate degree program at Arizona State University in a technical, quantitative, analytical, or related discipline.
• Expected graduation date of Fall 2027 or later.
• Foundational knowledge and skills relevant to data science, analytics, software development, artificial intelligence, or related areas, developed through coursework, projects, research, or practical experience.
• Experience with Python, SQL, and other data analysis or technical 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.
• Curiosity, critical thinking, and 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 to 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 varied projects and responsibilities while balancing competing priorities and evolving requirements.

Nice To Haves

• Completion of an internship or project-based experience in data science, data analytics, data engineering, machine learning engineering, or a related area.
• Experience deploying data solutions, preferably with Google Cloud Platform, Amazon Web Services, or Microsoft Azure.
• Exposure to programming, data analysis, cloud technologies, artificial intelligence, automation, or related technical disciplines through coursework, projects, research, internships, or personal initiatives.
• Familiarity with structured or unstructured data used for analysis, reporting, decision-making, or solution development; exposure to Google Analytics 4 is a plus.
• Exposure to modern artificial intelligence concepts, tools, or applications and interest in their practical use.
• Familiarity with cloud-based or distributed computing environments and how technology components can be integrated to support scalable solutions; Google Cloud Platform and BigQuery experience is a plus.
• Interest in designing, building, testing, and continuously improving technical solutions that create measurable value.
• Enthusiasm for learning new technologies, methodologies, and approaches and applying them to business challenges.

Responsibilities

• 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.
• 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 support reliability, scalability, and effectiveness.
• Collaborate with the Applied Data Science and Analytics team and other stakeholders.
• Use modern data, analytics, cloud, and AI technologies to develop, evaluate, and support solutions.
• Evaluate solution performance and contribute to improvements based on business needs, feedback, and evolving technologies.
• Communicate progress, results, technical concepts, and recommendations clearly to team members and stakeholders.

Benefits

• $30 bi-weekly cell phone reimbursement
• Hands-on experience in a professional environment
• Professional development plans
• Opportunity to network with ASU Enterprise Partners leaders and other ASU students
• Access to LinkedIn Learning and its 8,000+ courses
• Professional skills workshops

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: No Education Listed