Precision Agriculture Data Scientist Job Vacancy in Zaghouan, Tunisia – Agriculture & Farming

Job Description

Position: Precision Agriculture Data Scientist

Company: Société Tunisienne d’Exploitation Agricole (STEA)

Location: Zaghouan, Tunisia

Experience: 3-5 years

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

Employment Type: Full-time

Industry: Agriculture & Farming

Department: Data Analytics

Salary: 2,500 – 3,500 SSP per month

Vacancies:1

Company Overview

Société Tunisienne d’Exploitation Agricole (STEA) is a leading state‑owned agribusiness organization dedicated to modernizing Tunisia’s agricultural sector. With a heritage spanning over six decades, STEA manages extensive olive groves, citrus orchards, and grain farms across the country, delivering high‑quality produce to both domestic and international markets. The organization invests heavily in research, sustainable farming practices, and cutting‑edge technology to boost productivity and environmental stewardship. As a cornerstone of Tunisia’s food security strategy, STEA offers a dynamic environment where innovation meets tradition, providing ample career growth for professionals passionate about agriculture and data‑driven solutions. This role contributes directly to the national agenda of smart farming, aligning with global trends and supporting Tunisia Jobs, Jobs in Tunisia, and broader Career Opportunities in Tunisia.

Job Overview

The Precision Agriculture Data Scientist will lead the design, development, and implementation of data‑intensive solutions that optimize crop yields, reduce resource consumption, and enhance decision‑making across STEA’s farms. Working closely with agronomists, engineers, and IT teams, you will transform satellite imagery, IoT sensor data, and historical harvest records into actionable insights. This position plays a pivotal role in STEA’s digital transformation, supporting the company’s commitment to sustainable agriculture while driving measurable improvements in productivity and profitability. Candidates will have the opportunity to work on high‑impact projects that shape the future of farming in Tunisia, reinforcing the country’s reputation for innovative Employment in Tunisia and Hiring in Tunisia.

For more information about STEA and its initiatives, visit Tunisia Job Search.

Key Responsibilities

• Collect, clean, and integrate multi‑source agricultural data, including satellite imagery, weather stations, soil sensors, and farm equipment logs.
• Develop predictive models to forecast crop yields, disease outbreaks, and water usage using machine learning techniques.
• Design and deploy real‑time dashboards that provide agronomists and farm managers with actionable recommendations.
• Collaborate with agronomy experts to translate domain knowledge into feature engineering strategies.
• Implement geospatial analytics to identify optimal planting zones and resource allocation plans.
• Monitor model performance, conduct regular validation, and refine algorithms based on field feedback.
• Document methodologies, maintain code repositories, and ensure reproducibility of analytical workflows.
• Support STEA’s sustainability goals by quantifying environmental impact reductions.

Required Skills

• Proficiency in Python or R for data analysis and machine learning.
• Experience with GIS tools (e.g., QGIS, ArcGIS) and remote sensing data processing.
• Strong knowledge of statistical modeling, time‑series analysis, and deep learning frameworks.
• Familiarity with cloud platforms (AWS, Azure) and big data technologies (Spark, Hadoop).
• Ability to communicate complex technical concepts to non‑technical stakeholders.
• Understanding of agricultural practices, crop cycles, and agronomic variables.
• Excellent problem‑solving skills and a data‑driven mindset.
• Team‑player attitude with a collaborative approach to interdisciplinary projects.

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, GIS, or precision agriculture will be given preference.

Experience

Applicants should have 3‑5 years of professional experience in data science, analytics, or a related field, preferably within the agricultural sector or a similar environment that involves large‑scale sensor data and geospatial analysis.

Salary

The position offers a competitive salary ranging from 2,500 to 3,500 SSP per month, commensurate with experience and qualifications. Performance‑based bonuses and benefits are also part of the compensation package.

Benefits

• Health insurance covering medical, dental, and vision care.
• Retirement savings plan with employer contributions.
• Paid annual leave and public holidays.
• Professional development allowance for conferences and certifications.
• Flexible working hours and occasional remote work options.

Training

• Onboarding program covering STEA’s agricultural operations and data infrastructure.
• Continuous training in advanced analytics, AI, and precision farming technologies.
• Mentorship from senior data scientists and agronomy experts.
• Access to online learning platforms and industry webinars.

Working Environment

STEA provides a collaborative, innovative, and inclusive workplace where interdisciplinary teams work together to solve real‑world challenges. The office is located in Zaghouan, offering modern facilities, high‑speed internet, and a supportive culture that values creativity, sustainability, and professional growth.

Application Process

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

Equal Opportunity Statement

STEA 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. All qualified applicants will receive consideration for employment without discrimination.