Student Assistant – Data Science

Summary/Objective: Briefly describe (in one or two sentences) the position’s purpose or role.

In the role of Student Assistant – Data Science at ASU Enterprise Partners, you will contribute to the development and productionization of prescriptive and predictive data products. These may include data analyses, dashboards, predictive models, queries, model deployments, and applications of large language models (LLMs). Drawing on your foundation in developing new capabilities and generating valuable insights, you will help uncover patterns in complex datasets and integrate practical solutions into our systems.

Your work will focus on the creation of business value through applied solutions that drive meaningful change. Depending on your interests and experience, you may engage in data exploration, experimentation, and product development, or concentrate on operationalizing these solutions to ensure their effectiveness, scalability, and impact. As a key member of the Applied Data Science and Analytics (ADSA) team, you will collaborate closely with others to align efforts with business goals and deliver measurable value to stakeholders.

This role offers a rewarding opportunity to apply and grow your skills in a practical setting while making a tangible impact.

This position will require approximately 20 hours per week.

Essential Functions: Identify the essential functions or accountabilities of the job in order of importance.

• Data Product Contribution: Support the development and productionization of prescriptive and predictive data products, including analyses, dashboards, models, queries, and LLM-based applications.
• Data Exploration & Experimentation: Explore complex datasets and conduct experiments to uncover insights and inform novel approaches to decision-making.
• Applied Solution Design: Contribute to the design and implementation of data-driven solutions that create measurable business value and drive change.
• Operationalization: Assist in deploying and integrating data products into production environments, ensuring they are scalable, reliable, and actionable.
• Collaboration: Partner with members of the ADSA team to ensure alignment with business goals and stakeholder needs.
• Technology Utilization: Use tools such as BigQuery, BigQuery ML, Python, Vertex AI, and Colab Enterprise throughout the data product lifecycle.
• Monitoring & Iteration: Help monitor solution performance and support continuous improvement based on feedback and evolving requirements.
• Communication: Clearly communicate findings, progress, and recommendations through reports, visualizations, and presentations.

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Required Education and Experience: Briefly outline the educational level, degree program, and experience required to perform the job.

• Currently enrolled in a Bachelor’s, Master’s, or Graduate program at Arizona State University in a quantitative or technical discipline, such as Computer Science, Statistics, Mathematics, Economics, Physics, Neuroscience, or a related field.
• Has completed relevant coursework in areas such as statistics, data analysis, programming, machine learning, or related topics that support applied data science work.

Required Skills and Abilities: Briefly outline the specific skills and abilities necessary to perform the job.

• Technical Familiarity: Exposure to data science tools and programming languages such as Python, SQL, and notebooks (e.g., Jupyter, Colab).
• Applied Data Science Knowledge: Understanding of core data science techniques such as regression, classification, boosting, and deep learning, with an emphasis on their practical application.
• Deployment Awareness: Familiarity with concepts related to deploying data products, including input/output requirements, MLOps or DevOps practices, and cloud computing environments.
• Analytical Thinking: Ability to explore and interpret complex datasets, identify patterns, and contribute to experimentation and insight generation.
• Problem Solving: Demonstrated ability to approach challenges with creativity, critical thinking, and a willingness to learn new tools and concepts quickly.
• Quantitative Reasoning: Comfort working with quantitative data and applying statistical or computational methods to real-world problems.
• Communication Skills: Ability to communicate technical findings and recommendations clearly and effectively to both technical and non-technical audiences.
• Collaboration: Willingness to work as part of a team, contribute to shared goals, and engage with feedback in a constructive and iterative way.

Preferred Education and Experience: When applicable, add any preferred educational level & degree program, or preferred additional 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: When applicable, add any preferred skills and abilities desired.

• Familiarity with Google Cloud Platform (GCP) tools relevant to data science workflows, such as BigQuery ML, Vertex AI, Dataflow, Workflows, Vertex AI Model Monitoring, and Colab Enterprise.
• Understanding of Google Analytics 4 (GA4) data and its application in marketing or business intelligence contexts.
• Comfort working in cloud-based environments and integrating tools across platforms to support scalable, production-ready data solutions.
• Interest in exploring and applying emerging technologies (e.g., LLMs, automated workflows) to real-world problems.

Physical Requirements

This position requires the ability to operate a computer keyboard and standard office equipment. While performing the duties of this job, the employee is regularly required to stand, walk, sit, and talk or hear, and may be required to lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, and depth perception.

Does this position have supervisory responsibility?

☐ Yes

☒ No

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 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

About Us

Who we are:

Arizona State University has developed a new model for the American Research University creating an institution that is committed to excellence, access and impact.

ASU measures itself by those it includes and how they succeed, not by those it excludes. ASU pursues research that contributes to the public good and assumes major responsibility for the economic, social and cultural vitality of the communities that surround it.

In order to become that model for the New American University, ASU has undergone some radical changes over the last few years. Like many universities, it has added new buildings, hired new faculty and brought in new students. But, unlike many of its peers, ASU has also undertaken a massive reorganization of the institution. ASU has torn down walls between disciplines and encouraged collaboration among diverse units. ASU has altered the trajectory of the university and reevaluated the role that universities play in society, in the economy and in education at all levels. It has changed the relationship between ASU and the State of Arizona.

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. 

Affiliates:

• The ASU Foundation for a New American University (ASUF) fosters partnerships between ASU and like-minded individuals, corporations and foundations who believe in ASU’s mission and provide resources for ASU to manifest its charter into meaningful impact.
• The ASU Outreach Hub is a nonprofit organization that supports the outreach and transactional needs of the ASU public enterprise through marketing and engagement solutions that advance the university and strengthen its brand. It specializes in paid media outreach, data-driven insights and outreach to alumni, donors and targeted corporations.
• ASURE is a nonprofit applied research and development lab component of ASU's public enterprise that partners with faculty across disciplines to extend ASU's reach and impact for national security innovation.
• NEWSWELL is a nonprofit organization dedicated to supporting and strengthening local news outlets. NEWSWELL is part of the ASU Media Enterprise at ASU.
• Skysong Innovations is ASU’s exclusive technology transfer and intellectual property management company responsible for the rapid and wide dissemination of ASU’s discoveries and inventions into the marketplace for the public good.  
• University Realty receives, cultivates, advances and monetizes commercial and residential real estate to support the mission of Arizona State University. The goal of each and every transaction is to bring more resources and more revenue to the table for education.

Additionally, ASU Enterprise Partners operates ASU RealmSpark, which acts as the venture capital arm of ASU and invests in charter-aligned sectors. It finds the best technology on the market and brings it to the university. It also sources the most promising ASU-affiliated companies and brings them to market.

ASU Enterprise Partners employs a diverse team engaged in meaningful work, including fundraisers, designers, scholars, financial wizards, filmmakers, inventors, entrepreneurs and volunteers. Each member brings a different perspective to our vision, yet we share a mission to advance the most innovative university in the country.

Advance your career, too. Professional development is highly valued at ASU Enterprise Partners, where employees are encouraged to look across the organization and nurture new areas of interest. Roles often shift as passions are discovered.

Employees and eligible dependents enjoy a comprehensive benefits package, including medical, dental and vision insurance; a 401(k) plan; and significant tuition reductions. Details about our comprehensive benefits are available here.