Agricultural Data Scientist Job Vacancy in Tabora, Tanzania – Agriculture & Agribusiness

Job Description

Position:Agricultural Data Scientist

Company:Syngenta Tanzania

Location:Tabora, Tanzania

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:2,500,000 – 4,000,000 SSP per month

Vacancies:1

Company Overview

Syngenta Tanzania is a leading global agribusiness company dedicated to sustainable agriculture, seed innovation, and crop protection. With a strong presence across Tanzania, Syngenta works closely with local farmers, research institutions, and government agencies to improve yields, promote environmental stewardship, and support food security. The company’s mission aligns with Tanzania’s Vision 2025, fostering modern farming practices and empowering rural communities. As part of a multinational network, Syngenta Tanzania offers career opportunities that combine cutting‑edge technology with deep agricultural expertise, making it an attractive employer for professionals seeking impact‑driven roles.

Job Overview

The Agricultural Data Scientist will lead the collection, analysis, and interpretation of large‑scale agricultural datasets to drive evidence‑based decisions for crop management, yield optimization, and sustainability initiatives. Working within the Data & Analytics department, the role collaborates with agronomists, field engineers, and product development teams to translate raw data into actionable insights. This position plays a pivotal role in enhancing Syngenta’s digital agriculture platforms, supporting Tanzania Jobs seekers, and contributing to the broader goal of modernizing the nation’s agricultural sector. For more information about Syngenta’s commitment to innovation, visit our career portal.

Key Responsibilities

• Design and implement data pipelines to ingest satellite imagery, IoT sensor data, and farm management records.
• Develop predictive models for crop yield, disease risk, and input optimization using machine learning techniques.
• Collaborate with agronomists to validate model outputs against field trials and farmer feedback.
• Generate interactive dashboards and visual reports for internal stakeholders and external partners.
• Conduct statistical analyses to identify trends, anomalies, and opportunities for agronomic improvement.
• Maintain data quality standards, documentation, and compliance with data governance policies.
• Support the development of digital tools that enable precision agriculture for Tanzanian farmers.
• Present findings at regional conferences, workshops, and internal strategy meetings.

Required Skills

• Proficiency in Python or R for data analysis and machine learning.
• Experience with GIS tools, remote sensing data, and agricultural datasets.
• Strong knowledge of statistical modeling, time‑series analysis, and predictive analytics.
• Ability to communicate complex technical concepts to non‑technical audiences.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and big data technologies.
• Problem‑solving mindset with a focus on agricultural outcomes.
• Team player with excellent collaboration skills across multidisciplinary teams.

Education

A minimum of a Bachelor’s degree in Data Science, Computer Science, Statistics, Agricultural Engineering, or a related discipline is required. A Master’s degree or relevant certifications in machine learning, GIS, or agronomy is highly desirable.

Experience

Applicants should have 3–5 years of professional experience in data science, analytics, or research roles, preferably within the agriculture, agribusiness, or environmental sectors. Experience with field data collection, precision farming technologies, or agricultural research projects will be considered an advantage.

Salary

The successful candidate will receive a competitive monthly salary ranging from 2,500,000 to 4,000,000 SSP, commensurate with experience and qualifications. Performance‑based bonuses and incentives 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, sick leave, and public holidays.
• Professional development budget for conferences, certifications, and training.
• Employee assistance program and wellness initiatives.
• Opportunities for international assignments and cross‑functional projects.

Training

• Onboarding program covering Syngenta’s agronomic solutions and data platforms.
• Continuous learning modules in advanced analytics, AI, and precision agriculture.
• Mentorship pairing with senior data scientists and agronomists.
• Access to online courses and industry webinars.

Working Environment

Syngenta Tanzania offers a collaborative, inclusive, and innovation‑driven workplace. The office in Tabora is equipped with modern workstations, high‑speed internet, and meeting spaces designed for cross‑team collaboration. Employees enjoy a culture that values sustainability, diversity, and community impact, aligning with the broader goals of Tanzania’s agricultural development.

Application Process

Interested candidates should submit their application through the Syngenta Careers portal. The process includes an online questionnaire, submission of a resume and cover letter, followed by a technical assessment and interview stages. Applications will be reviewed on a rolling basis until the position is filled.

Equal Opportunity Statement

Syngenta Tanzania is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, disability, or sexual orientation. Our hiring practices support Tanzania Jobs seekers from all backgrounds, ensuring fair and unbiased selection.