Agricultural Data Scientist Job Vacancy in Sumbe, Angola – Agriculture Technology
Job Description
Position:Agricultural Data Scientist
Company:Syngenta Angola
Location:Sumbe, Angola
Experience:3-5 years
Education:Bachelor’s degree in Data Science, Statistics, Agronomy or related field
Employment Type:Full-time
Industry:Agriculture Technology
Department:Data & Analytics
Salary:2,500,000 – 4,000,000 SSP per month
Vacancies:1
Company Overview
Syngenta Angola is a leading global agribusiness company dedicated to sustainable agriculture and innovative crop solutions. Operating across Angola, Syngenta partners with local farmers, research institutions, and governmental bodies to improve crop yields, enhance soil health, and promote environmentally responsible farming practices. With a strong commitment to digital transformation, the company leverages cutting‑edge technologies to deliver data‑driven insights that empower growers to make informed decisions. As part of its mission to support food security in Angola, Syngenta offers a dynamic work environment where talent thrives, fostering career growth and contributing to the nation’s agricultural development. This role offers a unique opportunity to be at the forefront of agricultural data science, supporting Angola Jobs and broader Job Vacancy in Angola initiatives.
Job Overview
The Agricultural Data Scientist will design, develop, and implement advanced analytics models that translate complex agricultural data into actionable recommendations for farmers and internal stakeholders. Working closely with agronomists, engineers, and IT teams, you will harness large datasets from satellite imagery, IoT sensors, weather stations, and field trials to optimize planting schedules, fertilizer application, and pest management strategies. Your insights will directly influence product development, market strategies, and sustainability programs, positioning Syngenta Angola as a leader in precision agriculture across the region.
Key Responsibilities
- Collect, clean, and integrate multi‑source agricultural data, including remote sensing, soil health metrics, and yield records.
- Develop predictive models using machine learning techniques to forecast crop performance and disease risk.
- Collaborate with agronomists to translate analytical findings into practical field recommendations.
- Create interactive dashboards and visualizations for internal teams and external farmer partners.
- Conduct statistical analyses to evaluate the impact of new seed varieties and input products.
- Maintain data pipelines and ensure data quality, security, and compliance with local regulations.
- Present insights and strategic recommendations to senior leadership and external stakeholders.
- Stay current with emerging technologies in agricultural analytics and propose innovative solutions.
Required Skills
- Proficiency in Python or R for data analysis and modeling.
- Experience with GIS tools and satellite imagery processing.
- Strong knowledge of machine learning algorithms and statistical methods.
- Familiarity with cloud platforms such as AWS or Azure.
- Ability to work with large, heterogeneous datasets.
- Excellent communication skills to convey technical concepts to non‑technical audiences.
- Problem‑solving mindset with a focus on agricultural applications.
- Team player attitude with cross‑functional collaboration experience.
Education
A minimum of a Bachelor’s degree in Data Science, Statistics, Agronomy, Agricultural Engineering, or a related discipline is required. A Master’s degree or Ph.D. in a quantitative field is highly desirable and will be considered an advantage during the selection process.
Experience
Applicants should possess 3‑5 years of professional experience in data analysis, preferably within the agricultural sector or related industries such as agritech, environmental science, or food security. Demonstrated experience in building predictive models for crop management or similar applications is essential.
Salary
The compensation package ranges from 2,500,000 to 4,000,000 Angolan Kwanza (SSP) per month, commensurate with experience and qualifications. The package includes performance‑based bonuses and a comprehensive benefits suite.
Benefits
- Health insurance covering employee and dependents.
- Retirement savings plan with company matching.
- Paid annual leave and public holidays.
- Professional development allowance.
- Transportation stipend for commuting.
- Employee assistance program and wellness initiatives.
Training
- On‑boarding program covering Syngenta’s agronomic solutions and data infrastructure.
- Access to online courses and certifications in data science, machine learning, and GIS.
- Mentorship from senior data scientists and agronomy experts.
- Opportunities to attend international conferences and workshops.
Working Environment
Syngenta Angola offers a collaborative, inclusive, and innovative workplace located in Sumbe’s modern business district. The office is equipped with state‑of‑the‑art technology, flexible work arrangements, and a culture that encourages continuous learning and knowledge sharing. Employees benefit from a supportive leadership team that values diversity and promotes work‑life balance.
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Application Process
Interested candidates should submit their updated CV and a cover letter outlining their 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 at our Sumbe office.
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Equal Opportunity Statement
Syngenta Angola is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, ethnicity, religion, disability, or sexual orientation. Our hiring practices support the principles of fairness and transparency, ensuring that every candidate has an equal chance to succeed.
