Agricultural Data Scientist Job Vacancy in Nyala, Sudan – Agriculture

Job Description

Position:Agricultural Data Scientist

Company:Syngenta Sudan

Location:Nyala, Sudan

Experience:3-5 years

Education:Master’s degree in Data Science, Statistics, Agronomy or related field

Employment Type:Full-time

Industry:Agriculture

Department:Research & Development

Salary:SSP 150,000 – 250,000 per month

Vacancies:1

Company Overview

Syngenta Sudan, a leading global agribusiness, is dedicated to unlocking the potential of Sudanese agriculture through innovative science and sustainable practices. With a strong presence across the country, Syngenta partners with local farmers, research institutions, and government agencies to deliver high‑performance seeds, crop protection solutions, and digital tools that increase productivity and resilience. As part of its commitment to digital transformation, Syngenta Sudan is expanding its data‑driven capabilities to support precision agriculture, climate‑smart farming, and market intelligence. This creates a dynamic environment for professionals who are passionate about leveraging data to solve real‑world agricultural challenges. The role offers a unique opportunity to contribute to Sudan Jobs that shape the future of food security while working in a multicultural team that values innovation, integrity, and impact.

Job Overview

The Agricultural Data Scientist will join the Research & Development department in Nyala, focusing on the analysis of agronomic data collected from field trials, satellite imagery, and IoT sensors deployed across the Sahelian region. The role involves designing predictive models, generating actionable insights for farmers, and collaborating with agronomists to translate data findings into practical recommendations. This position is central to Syngenta Sudan’s strategy of integrating advanced analytics into its product pipeline and advisory services, thereby enhancing the value proposition for Sudanese growers. Candidates will work closely with cross‑functional teams, including breeding, crop protection, and digital platforms, to ensure that data solutions align with business objectives and regulatory standards. The successful applicant will play a pivotal role in driving Sudan Jobs that support sustainable agriculture and economic growth.

For more information about our mission and career opportunities, visit our website at https://sudanjobsearch.com/.

Key Responsibilities

• Collect, clean, and integrate heterogeneous agricultural datasets from field trials, remote sensing, and sensor networks.
• Develop and validate machine‑learning models to predict yield, disease risk, and input optimization.
• Collaborate with agronomists to interpret model outputs and create farmer‑friendly decision support tools.
• Produce detailed analytical reports and visual dashboards for internal stakeholders and external partners.
• Monitor model performance, conduct regular recalibrations, and ensure compliance with data governance policies.
• Support the development of digital agriculture platforms by providing algorithmic expertise and API specifications.
• Stay updated on emerging technologies in precision agriculture, big data, and AI, and propose innovative solutions.

Required Skills

• Proficiency in Python or R for data manipulation, statistical analysis, and machine learning.
• Experience with GIS tools (e.g., QGIS, ArcGIS) and processing satellite imagery.
• Strong knowledge of agricultural science, crop physiology, and agronomic practices.
• Ability to translate complex analytical results into clear, actionable recommendations for non‑technical audiences.
• Excellent communication and teamwork skills, with fluency in English; Arabic is a plus.
• Familiarity with cloud platforms (AWS, Azure) and big‑data frameworks (Spark, Hadoop) is advantageous.

Education

A Master’s degree in Data Science, Statistics, Computer Science, Agronomy, Agricultural Engineering, or a related discipline is required. Candidates with a Ph.D. or relevant certifications (e.g., Certified Data Scientist) will be given preference.

Experience

Minimum of 3 years of professional experience in data analytics, preferably within the agriculture sector or related fields such as environmental science, climate modeling, or food technology. Demonstrated experience in building predictive models for crop performance or resource optimization is essential.

Salary

The position offers a competitive salary range of SSP 150,000 to 250,000 per month, commensurate with experience and qualifications. Performance‑based bonuses and benefits are included.

Benefits

• Health insurance coverage for employee and dependents.
• Annual professional development allowance.
• Flexible working hours and remote‑work options for data‑centric tasks.
• Transportation allowance for commuting to the Nyala office.
• Access to state‑of‑the‑art research facilities and field sites.

Training

• On‑boarding program covering Syngenta’s agronomic portfolio and data infrastructure.
• Continuous learning opportunities through workshops, webinars, and conferences on AI in agriculture.
• Mentorship from senior scientists and data engineers.

Working Environment

Syngenta Sudan provides a collaborative, inclusive, and safety‑focused workplace. The Nyala office is equipped with modern workstations, high‑speed internet, and meeting rooms designed for interdisciplinary collaboration. Field visits to research stations and farms are an integral part of the role, offering hands‑on experience with cutting‑edge agricultural technologies.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online portal on our website. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for a virtual interview followed by an on‑site assessment in Nyala.

Equal Opportunity Statement

Syngenta Sudan is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, ethnicity, religion, or background. We encourage qualified women and under‑represented groups to apply for this position.