Part-Time Student - Data Science and Analytics - Urbandale, IA or Austin, TX

Summary

John Deere is a company focused on providing solutions for the growing global population and is seeking a Part-Time Student in Data Science and Analytics. This role involves exploring analytical problems and developing data-driven solutions while supporting the development of machine learning models and collaborating with various teams.

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

Skills

• 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
• Graduate-level academic experience preferred, including current enrollment in a Master's or PhD program in Data Science; others may apply
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• Graduate-level academic experience preferred, including current enrollment in a Master's or PhD program in Data Science; others may apply
• 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

Benefits

• Flexible work arrangements
• Highly competitive base pay
• Savings & Retirement benefits (401K and Defined Benefit Pension)
• Healthcare benefits with a generous company contribution in the Health Savings Account
• Adoption assistance
• Employee Assistance Programs
• Tuition assistance
• Fitness subsidies and on-site gyms at specific Deere locations
• Charitable contribution match
• Employee Purchase Plan & numerous discount programs for personal use
• Vacation and Holiday Pay