Student Assistant - Data Science

Arizona State University; Scottsdale (AZ); Hybrid; USD 16,000 - 22,000; Part time

Benefits offered by this job

Cell phone reimbursement

Professional development

LinkedIn Learning

Workshops

Job summary

Arizona State University students are invited to join the ADSA team as a Student Assistant in Data Science. This hybrid role focuses on developing and validating data science solutions, automations, and AI-enabled applications that deliver measurable business value.

The position offers hands-on experience, collaboration with the ADSA team, and exposure to modern data technologies. You will work approximately 20 hours per week, with about 12 hours on-site, contributing to data-driven projects,

Qualifications

• Currently enrolled in a degree program at ASU in a technical/analytical discipline.
• Must have expected graduation Fall 2027 or later.
• Has coursework/projects related to data science, analytics, or AI.

Responsibilities

• Develop and refine data science, analytics, and AI solutions that create business value.
• Assist with data analysis, testing, and evaluation of models and workflows.
• Support deployment, integration, and monitoring of solutions.
• Communicate results and insights clearly to stakeholders.

Skills

Python

SQL

Data analysis

Communication

Collaboration

Education

Bachelor's/Master's in progress

Tools

Google Analytics GA4

Google Cloud Platform (GCP)

BigQuery

Job description

# **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.Your work will focus on developing and supporting data science and AI solutions that create measurable business value. We strive to align assignments with each student's technical background and areas of interest while providing opportunities to build new skills through hands-on experience. Projects may involve activities such as developing and validating queries, evaluating AI-generated outputs, supporting predictive models and deployed solutions, improving analytical workflows, or contributing to other initiatives that advance organizational goals.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. 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, 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.**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