Agricultural Data Scientist Job Vacancy in Johannesburg, South Africa – Agriculture and Food Processing

Job Description

Position: Agricultural Data Scientist

Company: Cargill South Africa

Location: Johannesburg, South Africa

Experience: 3-5 years in data science, preferably in agriculture

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

Employment Type: Full-time

Industry: Agriculture and Food Processing

Department: Data Analytics

Salary: SSP 450,000 – 650,000 per annum

Vacancies:1

Company Overview

Cargill South Africa is a leading global provider of food, agriculture, and risk management solutions. With a strong presence across the African continent, Cargill supports farmers, processors, and consumers by delivering innovative products and services that enhance food security and sustainability. The Johannesburg office serves as a strategic hub for data‑driven initiatives that improve crop yields, optimize supply chains, and reduce environmental impact. As part of Cargill’s commitment to excellence, the company invests heavily in cutting‑edge technology and talent development, fostering a culture of collaboration, integrity, and continuous improvement. Employees enjoy a dynamic work environment where analytical thinking meets real‑world agricultural challenges, making Cargill an ideal place for professionals seeking to make a tangible difference in the food system.

https://southafricajobsearch.com

Job Overview

The Agricultural Data Scientist will play a pivotal role in transforming raw agricultural data into actionable insights that drive strategic decisions across Cargill’s South African operations. Working closely with agronomists, supply chain managers, and IT specialists, you will develop predictive models, conduct advanced analytics, and create visual dashboards that support farmers, traders, and internal stakeholders. This position offers the opportunity to apply machine learning techniques to large datasets sourced from satellite imagery, IoT sensors, weather stations, and market reports. By delivering data‑powered recommendations, you will help improve crop productivity, reduce waste, and enhance profitability for Cargill’s partners.

https://www.southsudanjobsearch.com/

Key Responsibilities

• Design, develop, and deploy machine‑learning models to predict crop yields, disease outbreaks, and optimal planting schedules.
• Integrate heterogeneous data sources—including remote sensing, soil sensors, and market price feeds—into a unified analytics platform.
• Collaborate with agronomy experts to translate domain knowledge into feature engineering strategies.
• Create interactive dashboards and visual reports for internal teams and external farmer partners.
• Perform statistical analysis to identify trends, anomalies, and opportunities for process improvement.
• Maintain data quality standards, ensuring accuracy, completeness, and timeliness of datasets.
• Provide training and mentorship to junior analysts on best practices in data science and agricultural analytics.
• Stay abreast of emerging technologies and industry trends to continuously enhance analytical capabilities.

Required Skills

• Proficiency in Python or R, with experience in libraries such as scikit‑learn, TensorFlow, or PyTorch.
• Strong SQL skills and familiarity with NoSQL databases (e.g., MongoDB, Cassandra).
• Experience working with geospatial data, GIS tools, and satellite imagery processing.
• Knowledge of agricultural practices, crop cycles, and agronomic variables is highly advantageous.
• Excellent problem‑solving abilities and a data‑driven mindset.
• Effective communication skills to convey complex analytical concepts to non‑technical audiences.
• Ability to work independently and as part of cross‑functional teams in a fast‑paced environment.

Education

A Bachelor’s degree in Data Science, Statistics, Computer Science, Agronomy, Agricultural Engineering, or a related discipline is required. A Master’s degree or relevant certifications (e.g., Certified Analytics Professional) are preferred and will be considered an asset.

Experience

Applicants should have 3‑5 years of professional experience in data science, analytics, or a related field, with a demonstrated track record of applying analytical techniques to agricultural or environmental datasets. Experience in the agribusiness sector, supply chain analytics, or precision farming is highly desirable.

Salary

The compensation package ranges from SSP 450,000 to SSP 650,000 per annum, commensurate with experience, qualifications, and demonstrated expertise. The package includes performance‑based bonuses and a comprehensive benefits suite.

Benefits

• Competitive salary with annual performance bonuses.
• Medical aid and dental coverage for employee and dependents.
• Retirement savings plan with employer contributions.
• Generous paid time off and parental leave.
• Professional development budget and tuition assistance.
• Employee assistance program and wellness initiatives.

Training

• Onboarding program covering Cargill’s data infrastructure, security protocols, and agricultural business units.
• Access to internal and external courses on machine learning, GIS, and agronomic science.
• Mentorship pairing with senior data scientists and agronomy leaders.
• Opportunities to attend industry conferences and workshops across Africa and globally.

Working Environment

Cargill offers a collaborative, inclusive, and technology‑forward workplace. The Johannesburg office features modern workspaces, high‑speed connectivity, and flexible work arrangements, including hybrid remote options. Employees are encouraged to share ideas, experiment with new tools, and contribute to a culture of innovation that drives sustainable agricultural outcomes.

https://www.mozambiquejobsearch.com/

Application Process

Interested candidates should submit an online application through Cargill’s career portal, attaching a detailed CV and a cover letter highlighting relevant experience and motivation for the role. Shortlisted applicants will undergo a technical assessment followed by virtual interviews with the Data Analytics team and senior agronomy leadership.

Equal Opportunity Statement

Cargill South Africa is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, disability, sexual orientation, religion, or any other protected characteristic. All qualified applicants will receive consideration for employment without discrimination.