Senior Agricultural Data Scientist - Remote Precision Farming Solutions

About

Our client, a leader in agricultural innovation, is seeking a highly skilled Senior Agricultural Data Scientist to join their forward‑thinking team. This role is pivotal in leveraging data analytics and machine learning to drive advancements in precision agriculture, sustainable farming practices, and crop yield optimization. You will be responsible for developing and implementing sophisticated data models, analyzing large‑scale agricultural datasets, and providing actionable insights to enhance farm management and operational efficiency. The ideal candidate will have a strong background in data science, a deep understanding of agricultural principles, and a passion for applying technology to solve real‑world farming challenges.

Key Responsibilities

• Develop and deploy advanced analytical models and machine learning algorithms to extract insights from agricultural data, including sensor data, satellite imagery, weather patterns, and historical yield records.
• Design and implement data collection strategies and databases for various agricultural applications.
• Analyze crop health, soil conditions, pest infestations, and environmental factors to provide predictive insights for farmers.
• Develop tools and dashboards to visualize agricultural data and communicate findings effectively to technical and non‑technical stakeholders.
• Collaborate with agronomists, plant scientists, and farm managers to understand their data needs and translate them into analytical solutions.
• Evaluate and integrate new data sources and technologies to enhance agricultural data analysis capabilities.
• Conduct research on emerging trends in agricultural technology and data science, identifying opportunities for innovation.
• Mentor junior data scientists and contribute to the overall technical development of the team.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Contribute to the strategic planning and roadmap for data‑driven agricultural solutions.

Qualifications

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Agricultural Science, or a related quantitative field.
• A minimum of 7 years of experience in data science, with a significant portion focused on agricultural applications or a related domain.
• Proven expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and predictive analytics.
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit‑learn).
• Experience with big data technologies and platforms (e.g., Hadoop, Spark) is highly desirable.
• Familiarity with GIS software and remote sensing data analysis.
• Strong understanding of agricultural science, crop physiology, soil science, or agronomy.
• Excellent communication, presentation, and problem‑solving skills.
• Ability to work effectively both independently and as part of a multidisciplinary team.

Location

This role requires on‑site presence at our client's facility in Kano, Kano, NG.

Join us in shaping the future of farming through data.