Quick Summary
Overview
Who are we, and what do we do? 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.
Technical Tools
pythondeep-learningetlmachine-learning
Who are we, and what do we do?
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 Winning Aspiration is to be the leader of innovative, sustainable solutions for farmers worldwide today and tomorrow, becoming the world’s most valuable agriculture solutions company.
Corteva Agriscience creates the world’s most recognized and premium agricultural solutions to address the greatest challenges in agriculture. With a focus on technology, we create seed and crop protection products that increase productivity and profit for farmers while reducing risks to their business. As the world’s first dedicated agriculture start-up, we’re building a culture that stays curious, thinks differently, acts boldly, and takes a stand on what’s right for our customers, co-workers, partners, and team-oriented environment.
#GrowWhatMatters
Role Purpose:
The Data Scientist will develop, refine, and deploy predictive and prescriptive models to support Corteva’s agricultural solutions across LATAM. This role will partner closely with global data science teams to ensure alignment with enterprise standards and leverage cutting-edge AI/ML techniques for regional challenges focused on our Seed Production Operations and Supply Chain.
As a Data Scientist your main responsibilities include the following:
Model Development & Refinement - Design, implement, and optimize machine learning models. Apply advanced statistical and AI techniques (e.g., reinforcement learning, deep learning, optimization) to solve complex agronomic and operational problems.
Collaboration - Work with global data science teams to integrate LATAM-specific datasets and insights into global models. Partner with R&D, commercial, and operations teams to translate business needs into data-driven solutions.
Data Engineering & Pipelines – Contribute to create scalable data pipelines for feature extraction and model deployment in cloud environments. Ensure data quality and compliance with Corteva’s governance standards.
Communication & Impact - Present findings and actionable insights to technical and non-technical stakeholders. Contribute to internal knowledge sharing.
To Grow What Matters your main qualifications should include but not limited to:
Education: Bachelor's degree completed. 5+ years’ experience in Data Science, Computer Science, Applied Statistics, Engineering, or related quantitative fields.
Technical Skills: Proficiency in Python and/or R; experience with ML frameworks. Strong understanding of model development, validation, and deployment. Familiarity with cloud platforms and distributed computing.
Preferred Experience: Reinforcement learning, predictive modeling for agriculture, and handling large-scale biological or operational datasets.
Soft Skills: Excellent communication and collaboration skills in multicultural environments. Ability to work independently and in cross-functional teams.
Language Skills: English will be your main collaboration language in a daily basis, so it is mandatory; Spanish is a great addition.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.
Location & Eligibility
Where is the job
—
Location terms not specified
Who can apply
Open to applicants worldwide
Listing Details
- Posted
- May 7, 2026
- First seen
- May 8, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 8, 2026
Signal breakdown
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External application · ~5 min on corteva's site
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