Agricultural Data Scientist Job Vacancy in Rundu, Namibia – Agriculture

Job Description

Position: Agricultural Data Scientist

Company: Olam Namibia

Location: Rundu, Namibia

Experience: 3-5 years

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

Employment Type: Full-time

Industry: Agriculture

Department: Data Analytics

Salary: SSP 250,000 – 350,000 per annum

Vacancies:1

Company Overview

Olam Namibia is a leading agribusiness that forms part of Olam International, a globally recognised food and agri‑ingredients company operating in over 60 countries. In Namibia, Olam focuses on sustainable crop production, livestock feed, and value‑added processing, contributing to food security and economic growth across the Kavango region. The company’s commitment to innovation, responsible sourcing, and community development makes it a top employer for professionals seeking meaningful impact in the agricultural sector.

With a strong presence in Rundu, Olam leverages the fertile lands of the Kavango River basin to produce high‑quality maize, soybeans, and horticultural crops. The Rundu hub serves as a strategic centre for research, data‑driven farm management, and regional distribution. Employees benefit from a collaborative culture that encourages continuous learning, cross‑functional teamwork, and the application of cutting‑edge technologies to improve yields, reduce waste, and enhance profitability.

Job Overview

The Agricultural Data Scientist will play a pivotal role in transforming raw farm data into actionable insights that drive operational efficiency and sustainability. Working within the Data Analytics department, you will design predictive models, develop dashboards, and support decision‑making for agronomists, supply‑chain managers, and senior leadership. This position offers a unique opportunity to blend agricultural expertise with advanced analytics, directly influencing Olam’s contribution to Namibia’s food system.

As part of Olam’s commitment to talent acquisition, the role is advertised on the leading portal Namibia Job Search, ensuring visibility among top candidates seeking Namibia Jobs and Career Opportunities in Namibia. Successful applicants will join a forward‑thinking team that values data integrity, innovation, and the long‑term health of the environment.

Key Responsibilities

• Collect, clean, and integrate data from field sensors, satellite imagery, and farm management software.
• Develop predictive models to forecast crop yields, pest outbreaks, and irrigation needs.
• Create interactive dashboards and visualisations for agronomists and management.
• Collaborate with agronomy and supply‑chain teams to translate analytical findings into practical recommendations.
• Monitor model performance and continuously refine algorithms based on new data.
• Document analytical processes and ensure reproducibility of results.

Required Skills

• Proficiency in Python or R for statistical modelling and machine learning.
• Experience with GIS tools and remote sensing data.
• Strong SQL skills and familiarity with cloud data platforms (e.g., AWS, Azure).
• Ability to communicate complex insights to non‑technical stakeholders.
• Knowledge of agricultural practices and crop science is advantageous.
• Problem‑solving mindset with attention to data quality and ethics.

Education

A Bachelor’s degree in Agriculture, Data Science, Statistics, Computer Science, or a related discipline is required. Advanced degrees or certifications in agronomy, machine learning, or GIS are considered a strong plus.

Experience

Applicants should have 3‑5 years of professional experience in data analytics, preferably within an agricultural or environmental context. Experience with large‑scale data pipelines and real‑time analytics will be highly valued.

Salary

The role offers a competitive salary range of SSP 250,000 to 350,000 per annum, reflecting the expertise required and the strategic importance of data‑driven agriculture in Namibia.

Benefits

• Health insurance covering medical, dental, and vision care.
• Retirement savings plan with employer contributions.
• Performance‑based bonuses linked to project outcomes.
• Professional development allowance for courses and certifications.
• Flexible working arrangements and paid annual leave.

Training

• On‑boarding program covering Olam’s agribusiness operations and data infrastructure.
• Access to internal and external workshops on advanced analytics, GIS, and sustainable farming.
• Mentorship from senior data scientists and agronomists.
• Opportunities to attend industry conferences and seminars.

Working Environment

Based in Rundu’s modern office complex, the role offers a collaborative workspace equipped with high‑speed internet, dual monitors, and ergonomic furniture. Field visits to farms are scheduled regularly, providing hands‑on exposure to the data sources you will analyse.

Application Process

Interested candidates should submit an online application through the company’s career portal, attaching a tailored CV and a cover letter outlining relevant experience. Shortlisted applicants will be invited to a virtual interview followed by a practical data‑analysis assessment.

Equal Opportunity Statement

Olam Namibia is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, disability, or background. All qualified applicants will receive consideration for employment in line with Namibia’s anti‑discrimination laws.