Part-Time Student - Data Science and Analytics

Isupark; Urbandale (IA); On-site; USD 27,552 - 41,328; Part time

Job summary

Isupark is seeking a Part-Time Student in Data Science and Analytics. The role supports data-driven solutions across dashboards and ML workflows, with a focus on both structured and unstructured data.

You will collaborate with product teams and stakeholders to deliver actionable insights. The position requires current enrollment in a Master’s or PhD program, graduation Spring 2027 or later, and a 16–20 hour weekly commitment during the academic year plus 30–40 hours in the summer.

Qualifications

• Graduate-level study in Data Science; Masters/PhD preferred.
• Current enrollment in Master’s or PhD program and eligible to work part-time.
• GPA 3.0 or above and full-time student status.
• Must commute to Urbandale, IA or Austin, TX; relocation not provided.
• Experience with Python, SQL, and ML basics.

Responsibilities

• Explore analytical problems and develop data-driven solutions.
• Ingest, clean, transform, and prepare data for models and dashboards.
• Build tools, pipelines, and visualizations to accelerate insights.
• Support algorithms, ML models, and GenAI workflows.
• Collaborate with data science, engineering, and product teams.

Skills

Python

SQL

Generative AI tools

Machine learning basics

Data visualization

Communication skills

Education

Master’s or PhD in Data Science or related

Currently enrolled in Master’s/PhD program

Bachelor’s degree considered with strong ability

Tools

Apache Spark

Job description

Part-Time Student - Data Science and Analytics

Location: Urbandale, IA or Austin, TX.

Responsibilities

• Explore analytical problems and develop creative, data-driven solutions using modern data science, analytics, and AI techniques.
• Ingest, evaluate, clean, transform, and prepare structured and unstructured data for use in algorithms, models, dashboards, and analytical solutions.
• Build analysis tools, prototypes, data pipelines, and dynamic visualizations to accelerate insight generation and support decision-making for internal customers and product teams.
• Support the development and evaluation of algorithms, machine learning models, causal inference methods, and GenAI-enabled workflows.
• Research new analytical, visualization, automation, and AI methodologies in collaboration with data science, engineering, agronomy, UX, and product subject matter experts.
• Apply data science and statistical techniques to solve business and product problems across the product lifecycle.
• Communicate findings, methodologies, assumptions, and recommendations clearly to technical and non-technical stakeholders at multiple levels.
• Work effectively in a collaborative, cross-functional environment while demonstrating curiosity, continuous learning, attention to detail, and high standards of quality.

Qualifications

• VISA Sponsorship is NOT Available for this position.
• Graduate-level academic experience preferred, including current enrollment in a Master’s or PhD program in Data Science; others may apply.
• Graduation date of Spring 2027 or later.
• Available to work during the academic year (16-20 hours weekly).
• Available to work during the summer semester (30-40 hours weekly).
• Must be registered as a full-time student at a U.S./local accredited university/college.
• Cumulative GPA of 3.0 or above.
• Must be able to commute to the work location in Urbandale, IA or Austin, TX on a daily basis. Relocation assistance is not provided.
• Strong analytical and problem-solving skills with the ability to explore ambiguous business or technical problems.
• Proficiency in Python, including experience with algorithms and data structures.
• Proficiency in SQL.
• Experience working with Generative AI tools.
• Foundational knowledge of machine learning and statistics.
• Knowledge of big data analysis, including experience or coursework with distributed data processing frameworks such as Apache Spark.
• Ability to create analytical outputs, dashboards, visualizations, or tools that help generate insights for customers and stakeholders.
• Strong communication skills, including the ability to explain technical methods and findings clearly to both technical and non-technical audiences.
• High level of attention to detail, accuracy, and ability to manage work effectively.

Education

• Ideally you will have a degree or equivalent related work experience in the following: Currently enrolled in a Master’s or PhD program in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Agricultural Engineering, Geospatial Science, Remote Sensing, or a closely related technical field.
• Strong candidates currently pursuing a Bachelor’s degree may also be considered if they demonstrate exceptional technical ability, strong analytical skills, relevant project experience, and high potential for growth.
• Coursework or research experience in data science, machine learning, causal inference, big data analytics, geospatial analytics, artificial intelligence, or software development is strongly preferred.