Lead Agricultural Data Scientist - Farm Analytics Platform

Placements24; Randburg; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Retirement plan

Performance bonuses

Professional development

Hybrid work in Randburg

Job summary

Placements24 is seeking a Lead Agricultural Data Scientist in Randburg to build and lead a farm analytics platform. You will oversee a team of data scientists, design ML models, and translate agricultural data into actionable insights for crop yields and profitability.

This hybrid role requires strong data engineering skills, deep knowledge of ML frameworks (TensorFlow, PyTorch) and cloud experience, plus excellent communication with agricultural specialists and product teams.

Qualifications

• Master's or PhD in a quantitative field (Data Science/CS/Statistics/Agri Eng).
• 8+ years data science experience; 3+ in leadership or team management.
• Proven experience building and deploying ML models for predictive analytics.
• Python or R with ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Strong SQL skills and experience with large databases/data warehousing.
• Familiar with AWS/Azure/GCP and big data tech (Spark/Hadoop).
• Excellent communication and ability to translate technical concepts for non-technical audiences.

Responsibilities

• Lead the development, implementation, and maintenance of a scalable agricultural data analytics platform.
• Design and build predictive models to forecast crop yields and resource allocation.
• Analyze large datasets from sensors, satellites, weather, and farm systems.
• Develop dashboards to communicate insights to clients and stakeholders.
• Collaborate with agricultural experts to define KPIs and analytic frameworks.
• Mentor a team of data scientists and analysts.
• Oversee data quality, integrity, and security within the analytics platform.
• Stay updated with advances in data science and agtech.

Skills

Python

R

Machine learning

Leadership

SQL

Data visualization

Cloud platforms

Education

Master's/PhD in Data Science/CS/Statistics/Agri Eng

Tools

TensorFlow

PyTorch

Scikit-learn

Spark/Hadoop

Job description

About the Role

Our client, a cutting-edge AgTech company, is seeking an experienced Lead Agricultural Data Scientist to build and manage their farm analytics platform. This hybrid role, based in Randburg , will involve leveraging vast agricultural datasets to provide actionable insights for optimizing crop yields, resource management, and farm profitability. You will lead a team of data scientists and analysts, develop sophisticated machine learning models, and collaborate closely with product development and agricultural specialists. This is a prime opportunity to shape the future of data-driven agriculture in Gauteng and contribute to smarter, more sustainable farming practices. The role requires a blend of technical expertise and a passion for agricultural innovation.

Key Responsibilities

• Lead the development, implementation, and maintenance of a scalable agricultural data analytics platform.
• Design and build predictive models using machine learning and statistical techniques to forecast crop yields, disease outbreaks, and optimal resource allocation.
• Analyze large, complex datasets from various sources, including sensors, satellite imagery, weather stations, and farm management systems.
• Develop data visualizations and dashboards to communicate key insights and trends to clients and internal stakeholders.
• Collaborate with agricultural experts to define key performance indicators and relevant analytical frameworks.
• Manage and mentor a team of data scientists and analysts, fostering a collaborative and innovative work environment.
• Oversee data quality, integrity, and security within the analytics platform.
• Stay current with the latest advancements in data science, machine learning, and agricultural technology.
• Present findings and recommendations to senior management, clients, and at industry conferences.

Requirements

• A Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Agricultural Engineering, or a related quantitative field.
• A minimum of 8 years of experience in data science, with at least 3 years in a leadership or team management role.
• Proven experience in building and deploying machine learning models for predictive analytics.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong SQL skills and experience working with large databases and data warehousing solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
• Excellent understanding of agricultural concepts, including crop science, soil science, and farm management practices.
• Strong analytical, problem-solving, and communication skills.
• Ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical audiences.
• Willingness to work a hybrid schedule, balancing remote work with in-office presence in Randburg .

Benefits

• highly competitive salary package
• comprehensive health benefits
• retirement plan contributions
• performance-based bonuses
• Access to cutting-edge technology and opportunities for continuous professional development, including attending leading industry conferences.
• This role provides a challenging and rewarding environment where you can make a significant impact on the future of agriculture.
• The hybrid model offers flexibility, and the work is centered in the dynamic business hub of Randburg .