Precision Agriculture Data Scientist Job Vacancy in Suez, Egypt – Agriculture & AgriTech

Job Description

Position: Precision Agriculture Data Scientist

Company: Corteva Agriscience Egypt

Location: Suez, Egypt

Experience: 5+ years in data science, preferably within the agriculture sector

Education: Master’s degree in Data Science, Computer Science, Agronomy, or related discipline

Employment Type: Full-time

Industry: Agriculture & AgriTech

Department: Research & Development – Data Analytics

Salary: SSP 180,000 – 250,000 per annum

Vacancies:1

Company Overview

Corteva Agriscience Egypt is a leading global provider of agricultural solutions, dedicated to helping farmers increase productivity while promoting sustainable farming practices. With a strong presence across the Middle East and North Africa, Corteva combines cutting‑edge biotechnology, digital tools, and agronomic expertise to deliver innovative products and services. The company’s mission is to empower growers with data‑driven insights that optimize seed selection, input usage, and field management. As part of its commitment to digital transformation, Corteva is expanding its data science capabilities in Egypt, creating new career opportunities for professionals passionate about agriculture and technology. This role contributes directly to the company’s vision of “feeding the future” by turning complex field data into actionable recommendations for Egyptian farmers.

Job Overview

The Precision Agriculture Data Scientist will lead the development of advanced analytics models that integrate satellite imagery, IoT sensor data, weather forecasts, and historical yield records. Working closely with agronomists, software engineers, and field specialists, you will design algorithms that predict crop performance, detect stress factors, and recommend variable‑rate applications. This position plays a pivotal role in enhancing Corteza’s digital platform, enabling farmers in Suez and the wider Nile Delta to make informed decisions that boost yields and reduce environmental impact. The role also involves collaborating with international research teams to adapt global best practices to local Egyptian conditions, ensuring that Corteva’s solutions remain relevant and competitive in the regional market.

For more information about our digital initiatives, visit our main website: https://egyptjobsearch.com

Explore additional career resources at our partner portal: https://www.botswanajobsearch.com/

Key Responsibilities

• Develop and validate machine‑learning models for yield prediction, disease detection, and input optimization using multi‑source agricultural data.
• Integrate satellite imagery, drone surveys, soil sensor readings, and weather APIs into a unified analytics pipeline.
• Collaborate with agronomists to translate model outputs into practical field recommendations for growers.
• Design interactive dashboards and visualizations that present insights in an intuitive format for end‑users.
• Conduct field trials in collaboration with local farms to test model accuracy and refine algorithms.
• Document methodologies, code, and results following Corteva’s data governance standards.
• Stay abreast of emerging AI/ML techniques and agricultural technologies, proposing innovative solutions to improve platform performance.

Required Skills

• Proficiency in Python or R, with extensive experience in libraries such as TensorFlow, PyTorch, scikit‑learn, and GeoPandas.
• Strong background in geospatial analysis, remote sensing, and handling raster/vector data.
• Hands‑on experience with cloud platforms (AWS, Azure) and big‑data tools (Spark, Hadoop).
• Knowledge of agronomic principles, crop physiology, and farming practices in Egypt.
• Excellent problem‑solving abilities and a data‑driven mindset.
• Effective communication skills to convey technical concepts to non‑technical stakeholders.
• Ability to work independently and as part of a multidisciplinary team.

Education

A Master’s degree in Data Science, Computer Science, Agronomy, Agricultural Engineering, or a closely related field is required. Candidates with a Ph.D. in a relevant discipline are highly desirable, especially those with research focused on precision agriculture or remote sensing.

Experience

Minimum of five years of professional experience in data science, analytics, or machine learning, with at least two years dedicated to agricultural applications. Experience in developing production‑grade AI solutions for farming, as well as a proven track record of publishing or presenting findings in industry conferences, will be considered a strong advantage.

Salary

The compensation package ranges from SSP 180,000 to SSP 250,000 annually, commensurate with experience and expertise. The package includes performance‑based bonuses, health insurance, and a retirement savings plan.

Benefits

• Comprehensive health and dental coverage for employee and dependents.
• Annual performance bonus linked to project milestones.
• Professional development allowance for certifications, conferences, and workshops.
• Flexible working hours and remote‑work options for data‑intensive tasks.
• Company‑provided laptop, software licenses, and access to high‑performance computing resources.

Training

• Onboarding program covering Corteva’s agronomic products, data platforms, and compliance standards.
• Continuous learning pathways in AI, geospatial analytics, and advanced agronomy.
• Mentorship from senior data scientists and agronomists across global research centers.

Working Environment

Corteva offers a collaborative, innovation‑driven environment where interdisciplinary teams work together to solve real‑world challenges. Our Suez office features modern workspaces, meeting rooms equipped with video‑conferencing tools, and a dedicated data lab for model experimentation. Employees enjoy a culture that values sustainability, diversity, and scientific curiosity, with regular knowledge‑sharing sessions and hackathons that foster creativity.

Application Process

Interested candidates should submit an online application through our careers portal, attaching a detailed CV and a cover letter highlighting relevant agricultural data projects. Shortlisted applicants will undergo a technical assessment followed by virtual interviews with the data science lead and agronomy manager. Successful candidates will receive an offer within two weeks of the final interview.

Equal Opportunity Statement

Corteva Agriscience Egypt is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace where all employees—regardless of gender, age, disability, religion, or sexual orientation—can thrive. Our hiring practices are based solely on merit, qualifications, and business needs.