Agronomic Data Science & Pathology Intern

Corteva • Des Moines, IA

109d

About The Position

Corteva Agriscience is the only major agriscience company in the world completely dedicated to agriculture. Our purpose is to enrich the lives of those who produce and those who consume, ensuring progress for generations to come. Our inspiration is to be a market shaper, driving the next generation of agriculture products that help farms and farmers flourish and through partnering with society becoming the most trusted partner in the global agriculture and food community. With a global footprint and over 20,000 employees, Corteva is building the future of agriculture and leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. Join a fast-paced research & development team that is using leading edge technologies to advance software-based agronomic solutions for growers around the globe. As an Agronomic Data Science & Pathology Intern at Corteva, you will have a unique opportunity to learn, grow, and expand your knowledge as you help research and develop the digital crop advisor of tomorrow.

Requirements

• Enrollment in a Masters or Doctoral degree program in mathematics, statistics, plant pathology, data science, computer science or related agricultural engineering field is preferred
• 3.5+ current cumulative GPA
• Excellent problem-solving skills using creative approaches
• Hands-on experience with python, data analysis and statistics is required
• Relevant experience using machine learning and mechanistic modelling approaches to solve complex problems with mixed variable datasets
• Domain knowledge of plant pathology, epidemiology and biological systems
• Ability to work effectively with cross-functional science and engineering teams and business partners

Nice To Haves

• Affinity with agriculture, pathology, epidemiology and biological systems

Responsibilities

• Model, integrate, and analyze agricultural and weather data
• Plant disease and pest management modeling in crops such as corn, soybeans and canola
• Develop and execute Python code in high performance distributed Unix/Linux computing environments
• Work collaboratively on agile research teams to create innovative software solutions for growers
• Design, develop, and support a variety of high-performance software solutions for R&D
• Continuously learn and share your technical knowledge with key leaders and project stakeholders

What This Job Offers

• Career Level: Intern
• Industry: Chemical Manufacturing
• Education Level: Master's degree