Iowa State University Research Park
Part-Time Student - Data Science and Analytics
Torpoint
Posted about 9 hours ago
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Location: Urbandale, IA
Job Description
As a Part Time Student - Data Science and Analytics for Intelligent Solutions Group Urbandale located in Urbandale, IA, or Austin, TX you will be:
- 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.
VISA Sponsorship is NOT Available for this position.
What Skills You Need
- 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. NOTE: 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.
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What Makes You Stand Out
- Experience designing, building, evaluating, or deploying agentic AI systems, AI assistants, workflow automation, or LLM-based applications.
- Strong proficiency in causal inference, including experience with experimental design, quasi-experimental methods, treatment effect estimation, or causal modeling.
- Experience with geospatial data science, including spatial analytics, geospatial feature engineering, remote sensing analysis, satellite imagery, or precision agriculture datasets.
- Experience working with Databricks, Apache Spark, distributed computing, and large-scale data processing environments.
- Experience building production-quality analytical workflows, reusable data products, or scalable data science pipelines.
- Familiarity with cloud-based data platforms, model development environments, version control, and collaborative software development practices.
- Experience working as part of a digital product team, including collaboration with product managers, engineers, designers, domain experts, and business stakeholders.
- Ability to translate stakeholder needs into analytical questions, technical requirements, prototypes, and actionable insights.
- Experience creating interactive dashboards, data applications, or visualization tools that support decision-making.
- Knowledge of agricultural, geospatial, machine telemetry, IoT, or digital product data is a plus.
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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.
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Skills
Python
SQL
Data Science
Machine Learning
Statistics
Big Data Analysis
Generative AI
Causal Inference
Geospatial Data Science
Data Visualization
Analytical Tools
Collaboration
Attention to Detail
Communication
Problem Solving
Data Preparation