Agricultural Data Scientist Job Vacancy in Kaolack, Senegal – Agriculture

Job Description

Position: Agricultural Data Scientist

Company: Cargill

Location: Kaolack, Senegal

Experience: 3-5 years

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

Employment Type: Full-time

Industry: Agriculture

Department: Data Analytics

Salary: 1,200,000 – 1,800,000 SSP per month

Vacancies:1

Company Overview

Cargill is a global leader in food, agriculture, and risk management, operating in more than 70 countries. In Senegal, Cargill has a strong presence in the agricultural value chain, supporting local farmers, processing facilities, and export operations. The company is committed to sustainable practices, innovation, and community development, making it an attractive employer for professionals seeking to make a meaningful impact in the agricultural sector. As part of its strategic growth plan, Cargill is expanding its data-driven capabilities to enhance crop yield forecasting, supply chain efficiency, and market intelligence across West Africa.

Job Overview

The Agricultural Data Scientist will join Cargill’s Data Analytics team in Kaolack, focusing on leveraging advanced analytics and machine learning to optimize agricultural production and supply chain processes. This role offers a unique opportunity to work at the intersection of data science and agronomy, driving insights that support farmers, improve product quality, and increase profitability. For more information about Cargill’s commitment to innovation, visit https://senegaljobsearch.com/. This position is a key component of Cargill’s effort to attract top talent for career opportunities in Senegal and strengthen its leadership in the agriculture industry.

Key Responsibilities

• Develop and implement predictive models for crop yield, disease detection, and weather impact using machine learning techniques.
• Analyze large datasets from satellite imagery, IoT sensors, and farm management systems to generate actionable insights.
• Collaborate with agronomists, supply chain managers, and IT teams to integrate analytical solutions into operational workflows.
• Design dashboards and visualizations that communicate complex data findings to non‑technical stakeholders.
• Conduct statistical analyses to evaluate the effectiveness of agronomic interventions and recommend improvements.
• Maintain data quality standards, ensuring accuracy, completeness, and compliance with data governance policies.
• Stay updated on emerging technologies and best practices in agricultural analytics and propose innovative solutions.

Required Skills

• Proficiency in programming languages such as Python or R for data analysis and model development.
• Experience with machine learning libraries (e.g., scikit‑learn, TensorFlow, PyTorch) and statistical modeling.
• Strong knowledge of SQL and experience working with relational databases.
• Familiarity with GIS tools and remote sensing data processing.
• Ability to translate complex analytical results into clear business recommendations.
• Excellent problem‑solving skills and attention to detail.
• Effective communication and teamwork abilities.

Education

A Master’s degree in Data Science, Computer Science, Agricultural Engineering, Agronomy, or a related discipline is required. Candidates with a Ph.D. or additional certifications in machine learning or agronomy are highly desirable.

Experience

Applicants should have 3‑5 years of professional experience in data science, analytics, or a related field, preferably within the agriculture sector. Experience with agricultural datasets, precision farming technologies, or supply chain analytics will be considered an advantage.

Salary

The compensation package ranges from 1,200,000 to 1,800,000 SSP per month, commensurate with experience and qualifications. The package includes performance‑based bonuses and comprehensive benefits.

Benefits

• Health insurance covering medical, dental, and vision care.
• Retirement savings plan with company matching contributions.
• Paid annual leave and public holidays.
• Professional development allowance for certifications and conferences.
• Employee assistance program and wellness initiatives.

Training

• On‑boarding program covering Cargill’s agricultural operations and data infrastructure.
• Continuous learning opportunities in advanced analytics, AI, and agronomy.
• Mentorship from senior data scientists and agronomy experts.

Working Environment

Cargill offers a collaborative, inclusive, and innovative workplace in Kaolack, with modern office facilities, high‑speed internet, and access to cutting‑edge analytical tools. The team culture emphasizes knowledge sharing, sustainability, and a commitment to delivering value to local farming communities.

Application Process

Interested candidates should submit their resume and a cover letter outlining their relevant experience through the online application portal on the Cargill careers website. Applications will be reviewed on a rolling basis, and shortlisted candidates will be contacted for virtual interviews.

Equal Opportunity Statement

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