Precision Agriculture Data Scientist Job Vacancy in Kaolack, Senegal – Agriculture & Agribusiness

Job Description

Position: Precision Agriculture Data Scientist

Company: Olam Senegal

Location: Kaolack, Senegal

Experience: 3-5 years

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

Employment Type: Full-time

Industry: Agriculture & Agribusiness

Department: Data Analytics

Salary: 2,500,000 – 3,500,000 SSP per month

Vacancies:1

Company Overview

Olam Senegal is a leading agribusiness company dedicated to transforming agricultural value chains across West Africa. With a strong commitment to sustainability, innovation, and community development, Olam Senegal supports farmers, processors, and consumers through integrated solutions that enhance productivity and market access. As part of a global network, the company leverages cutting‑edge technology to drive efficiency and create lasting impact. This role offers a unique opportunity to contribute to the future of agriculture in Senegal, aligning with the growing demand for skilled professionals in the sector. Join a dynamic team that values diversity, collaboration, and continuous improvement, and be part of the story that makes Olam a top employer for Senegal Jobs and Jobs in Senegal.

Job Overview

The Precision Agriculture Data Scientist will lead the design, development, and implementation of data‑driven solutions that optimize crop yields, resource utilization, and environmental stewardship. Working closely with agronomists, engineers, and field teams, you will translate complex datasets into actionable insights that support decision‑making at farm and regional levels. This position plays a pivotal role in Olam Senegal’s digital transformation strategy, enhancing the company’s ability to deliver high‑quality produce while promoting sustainable practices. For more information about our mission and culture, visit https://senegaljobsearch.com/. This is a prime Career Opportunities in Senegal for data professionals passionate about agriculture.

Key Responsibilities

• Collect, clean, and integrate heterogeneous agricultural data sources, including satellite imagery, IoT sensor feeds, and farm management records.
• Develop predictive models to forecast crop performance, disease risk, and input requirements using machine learning techniques.
• Collaborate with agronomists to validate model outputs and refine algorithms based on field observations.
• Design interactive dashboards and visualizations that communicate insights to stakeholders at all levels.
• Implement data pipelines and automation workflows to ensure real‑time data availability for decision support.
• Monitor model performance, conduct regular retraining, and ensure compliance with data governance standards.
• Contribute to research publications and present findings at industry conferences to position Olam Senegal as a thought leader.

Required Skills

• Proficiency in Python or R for data analysis and machine learning.
• Experience with geospatial analysis tools such as QGIS, Google Earth Engine, or ArcGIS.
• Strong knowledge of agricultural science, crop physiology, and farm management practices.
• Ability to work with large datasets and cloud platforms (AWS, Azure, or Google Cloud).
• Excellent communication skills to translate technical results into business recommendations.
• Problem‑solving mindset with a focus on delivering measurable impact.

Education

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

Experience

Applicants should have 3‑5 years of professional experience in data science, preferably within the agriculture or agribusiness sector. Demonstrated success in developing predictive models for crop management is essential.

Salary

The compensation package ranges from 2,500,000 to 3,500,000 SSP per month, commensurate with experience and qualifications. Additional performance‑based incentives may be offered.

Benefits

• Comprehensive health insurance covering medical, dental, and vision.
• Retirement savings plan with company matching contributions.
• Paid annual leave and public holidays in accordance with Senegal labor law.
• Professional development allowance for conferences, certifications, and training.
• Employee assistance program and wellness initiatives.

Training

• Onboarding program covering Olam’s agribusiness operations and data infrastructure.
• Continuous learning opportunities in advanced analytics, AI, and precision farming technologies.
• Mentorship from senior data scientists and agronomy experts.

Working Environment

Our Kaolack office offers a collaborative, inclusive, and technology‑enabled workspace. Employees benefit from flexible working arrangements, modern equipment, and a culture that encourages innovation and knowledge sharing. Field visits to partner farms are integral to the role, providing hands‑on experience with cutting‑edge agricultural practices.

Application Process

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

Equal Opportunity Statement

Olam Senegal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, ethnicity, disability, or background. Our hiring practices support the principles of fair employment and aim to attract the best talent for Employment in Senegal.