Part-Time Student - Data Science and Analytics

Part-Time Student - Data Science and Analytics

Location:

Urbandale, IA or Austin, TX.

• 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.
• 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.

• 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.