Agricultural Data Scientist Job Vacancy in Medenine, Tunisia – Agriculture & Agribusiness

Job Description

Position: Agricultural Data Scientist

Company: CIMAF

Location: Medenine, Tunisia

Experience: 3-5 years

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

Employment Type: Full-time

Industry: Agriculture & Agribusiness

Department: Data Analytics

Salary: 3000 – 5000 SSP per month

Vacancies:1

Company Overview

CIMAF is a leading agribusiness group in Tunisia, recognized for its innovative approach to sustainable farming, food processing, and export of high‑quality agricultural products. With a presence in over 20 countries, CIMAF combines traditional farming expertise with cutting‑edge technology to drive growth in the Mediterranean region. The company’s commitment to environmental stewardship, community development, and digital transformation makes it a top employer for professionals seeking impactful careers in Tunisia Jobs and beyond.

Job Overview

The Agricultural Data Scientist will join CIMAF’s Data Analytics department to transform raw farm data into actionable insights that enhance crop yields, optimize resource use, and support strategic decision‑making. Working closely with agronomists, engineers, and business leaders, you will develop predictive models, visual dashboards, and data‑driven recommendations that align with the company’s sustainability goals. This role offers a unique opportunity to contribute to cutting‑edge agritech solutions while advancing your career in a dynamic, fast‑growing sector. For more information about our hiring process, visit Tunisia Job Search.

Key Responsibilities

• Collect, clean, and integrate data from IoT sensors, satellite imagery, and farm management systems.
• Develop predictive models to forecast crop performance, pest outbreaks, and water usage.
• Create interactive dashboards and visual reports for stakeholders at all levels.
• Collaborate with agronomists to translate scientific findings into data‑driven recommendations.
• Implement machine‑learning pipelines for real‑time decision support.
• Monitor model performance and continuously improve algorithms.
• Ensure data quality, security, and compliance with industry standards.
• Support cross‑functional teams in data‑centric projects and innovation initiatives.

Required Skills

• Proficiency in Python or R for data analysis and modeling.
• Experience with GIS tools, remote sensing, and agricultural datasets.
• Strong knowledge of machine‑learning techniques and statistical modeling.
• Ability to design and deploy data pipelines using SQL and cloud platforms.
• Excellent communication skills to convey complex insights to non‑technical audiences.
• Problem‑solving mindset with a focus on agricultural applications.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Team player attitude with a collaborative approach.

Education

A minimum of a Bachelor’s degree in Data Science, Computer Science, Agriculture, Agronomy, or a related discipline is required. Advanced degrees or certifications in machine learning, GIS, or agritech are highly desirable and will be considered an asset during the selection process.

Experience

Candidates should have 3‑5 years of professional experience in data science, analytics, or a related field, preferably within the agriculture or agribusiness sector. Experience with large‑scale datasets, predictive modeling, and cross‑functional project delivery is essential.

Salary

The position offers a competitive salary range of 3000 to 5000 SSP per month, reflecting the expertise required and the strategic importance of the role within CIMAF’s growth plans.

Benefits

• Health insurance coverage for employee and dependents.
• Performance‑based bonuses and annual salary reviews.
• Professional development budget and certification support.
• Flexible working hours and remote work options.
• Transportation allowance for commuting to the Medenine facility.
• Employee wellness programs and on‑site gym access.

Training

• Onboarding program covering CIMAF’s agribusiness operations and data infrastructure.
• Advanced workshops in machine learning, GIS, and agritech innovations.
• Mentorship pairing with senior data scientists and agronomists.
• Access to online learning platforms for continuous skill enhancement.
• Regular participation in industry conferences and seminars.

Working Environment

CIMAF provides a collaborative, inclusive, and technology‑driven workplace where creativity and data‑focused problem solving are encouraged. Our Medenine office is equipped with modern workstations, high‑speed internet, and dedicated spaces for teamwork and quiet analysis. Employees enjoy a culture that values sustainability, diversity, and continuous improvement, making it an ideal setting for career growth in Tunisia.

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 by the recruitment team, and shortlisted candidates will be invited for a virtual interview followed by a technical assessment. Successful applicants will receive an offer letter outlining compensation, benefits, and start‑date details.

Equal Opportunity Statement

CIMAF is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, age, disability, or sexual orientation. Our hiring practices reflect our dedication to fairness and the belief that a diverse workforce drives innovation and success.