Job Description
Position:Precision Agriculture Data Scientist
Company:Bayer Tanzania
Location:Mtwara, Tanzania
Experience:3-5 years
Education:Bachelor’s degree in Data Science, Agricultural Engineering, Computer Science or related field
Employment Type:Full-time
Industry:Agriculture
Department:Data Analytics & Innovation
Salary:SSP 2,500,000 – 3,500,000 per annum
Vacancies:1
Company Overview
Bayer Tanzania is a leading global life sciences company with a strong presence in the Tanzanian agricultural sector. Our mission is to provide innovative solutions that enhance crop productivity, sustainability, and farmer profitability. Operating across the country, Bayer Tanzania collaborates with local growers, research institutions, and government agencies to deliver cutting‑edge seed technologies, crop protection products, and digital farming tools. As part of our commitment to digital transformation, we are expanding our data‑driven capabilities to support precision agriculture initiatives that address the unique challenges of Tanzanian farms. This role offers a unique opportunity to contribute to a forward‑thinking organization that values scientific excellence, sustainability, and career growth. Join us and be part of a team that is shaping the future of agriculture in Tanzania and beyond.
Job Overview
The Precision Agriculture Data Scientist will lead the design, development, and implementation of advanced analytics solutions that enable farmers in Tanzania to make data‑informed decisions. Working closely with agronomists, engineers, and IT specialists, you will analyze large datasets from satellite imagery, IoT sensors, and field trials to generate actionable insights on soil health, pest pressure, and yield optimization. This position plays a critical role in Bayer Tanzania’s digital agriculture platform, supporting the rollout of smart farming services across the region. For more information about our digital initiatives, visit our career portal at https://tanzaniajobsearch.com/. The role is based in Mtwara, providing a strategic location to serve the southern agricultural belt of the country.
Key Responsibilities
- Develop and maintain predictive models for crop yield, disease risk, and resource use efficiency using machine learning techniques.
- Integrate heterogeneous data sources, including satellite imagery, weather stations, soil sensors, and farm management software.
- Collaborate with agronomy experts to translate analytical findings into practical recommendations for farmers.
- Design interactive dashboards and visualizations that communicate complex insights in an intuitive manner.
- Conduct field validation studies to assess model performance and refine algorithms.
- Stay abreast of emerging technologies in precision agriculture and propose innovative solutions.
- Document analytical processes, code, and results to ensure reproducibility and knowledge sharing.
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 understanding of statistical modeling, time‑series analysis, and spatial analytics.
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data frameworks (Spark, Hadoop).
- Excellent problem‑solving abilities and a data‑driven mindset.
- Effective communication skills to convey technical concepts to non‑technical stakeholders.
- Ability to work independently and as part of a multidisciplinary team.
Education
A minimum of a Bachelor’s degree in Data Science, Agricultural Engineering, Computer Science, Statistics, 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 to 5 years of professional experience in data science, analytics, or a related field, preferably within the agricultural sector or with exposure to precision farming technologies.
Salary
The annual compensation ranges from SSP 2,500,000 to SSP 3,500,000, commensurate with experience and qualifications. Performance‑based bonuses and incentives are also part of the package.
Benefits
- Comprehensive health insurance covering medical, dental, and vision.
- Retirement savings plan with company matching contributions.
- Paid annual leave, sick leave, and public holidays.
- Employee assistance program and wellness initiatives.
- Transportation allowance for commuting to the Mtwara office.
Training
- On‑the‑job training in Bayer’s proprietary digital agriculture platforms.
- Access to industry conferences, workshops, and online courses in data science and agronomy.
- Mentorship program pairing you with senior data scientists and agronomists.
Working Environment
Bayer Tanzania offers a collaborative, inclusive, and innovative workplace. Our Mtwara office is equipped with modern workstations, high‑speed internet, and meeting spaces designed for teamwork. Employees enjoy a culture that encourages continuous learning, sustainability, and community engagement. Field visits to farms and research stations are integral to the role, providing hands‑on experience with the latest agricultural technologies.
Application Process
Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online application portal on our website. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for a virtual interview followed by an on‑site assessment in Mtwara.
Equal Opportunity Statement
Bayer 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, age, disability, or sexual orientation. All qualified applicants will receive consideration for employment without discrimination.