Remote Agricultural Data Scientist

Placements24; Soweto; Híbrido; ZAR 700.000 - 1.050.000; Tempo integral

Benefícios oferecidos por esta vaga

Performance bonus

Salary package commensurate with exp

Medical insurance

Professional development budget

Flexible work hours

Resumo da vaga

Placements24 is seeking a Remote Agricultural Data Scientist to drive insights from large agricultural datasets across regions. You will build predictive models for crop yield, weather impacts, and resource use while creating impactful visuals for clients and internal teams.

The role emphasizes strong data science skills, advanced ML, and collaboration with agronomists and engineers in a fully remote setting.

Qualificações

• Master's or PhD in a quantitative field such as Data Science, Statistics, CS or Agricultural Science.
• 5+ years as a Data Scientist, with extensive agricultural domain experience.
• Proficient in Python or R and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Strong database and data warehousing skills (SQL/NoSQL).
• Experience with data visualization (Tableau, Power BI) and GIS is a plus.

Responsabilidades

• Collect, clean, and pre-process large agricultural datasets from diverse sources.
• Develop and validate statistical models and ML algorithms for agricultural data.
• Identify trends to support farm management decisions and yield optimization.
• Build predictive models for yield, weather impacts, and resources.
• Create visualizations and reports for internal teams and clients.
• Collaborate with agronomists, engineers, and product managers to define data needs.
• Stay updated on advances in data science and agricultural tech.
• Improve data infrastructure and analytical tools to ensure data quality and security.

Conhecimentos

Python

R

TensorFlow

Scikit-learn

SQL

NoSQL

Data Visualization

GIS

Formação

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

Ferramentas

Tableau

Power BI

Matplotlib

Descrição da vaga

About the Role

Our client, a cutting-edge agricultural technology company, is looking for a talented and experienced Remote Agricultural Data Scientist to join their innovative team. This fully remote position involves leveraging vast datasets to drive insights and solutions that enhance agricultural productivity, sustainability, and efficiency. The Data Scientist will be responsible for collecting, cleaning, analyzing, and modeling agricultural data, including yield data, weather patterns, soil information, imagery, and sensor readings, to identify trends, predict outcomes, and optimize farming practices. The ideal candidate possesses a strong background in data science, machine learning, statistics, and a passion for applying these skills to the agricultural sector. This role requires excellent problem-solving abilities, proficiency in data manipulation and visualization tools, and strong communication skills to convey complex findings to both technical and non-technical stakeholders remotely. The role is central to advancing agricultural intelligence for clients across diverse regions, including areas like Soweto and beyond.

Key Responsibilities

• Collect, clean, and pre-process large and complex agricultural datasets from various sources.
• Develop, implement, and validate statistical models and machine learning algorithms to analyze agricultural data.
• Identify key trends, patterns, and correlations within the data to provide actionable insights for farm management.
• Build predictive models for crop yield, disease outbreaks, weather impacts, and resource requirements.
• Develop data visualizations and reports to effectively communicate findings to internal teams and clients.
• Collaborate with agronomists, engineers, and product managers to define data requirements and analytical approaches.
• Stay abreast of the latest advancements in data science, machine learning, and agricultural technology.
• Contribute to the development and improvement of data infrastructure and analytical tools.
• Ensure data quality, integrity, and security throughout the data lifecycle.

Requirements

• A Master's or Ph.D. degree in Data Science, Statistics, Computer Science, Agricultural Science with a strong quantitative focus, or a related field.
• Minimum of 5 years of experience as a Data Scientist, with significant experience in the agricultural domain or applying data science to complex biological/environmental systems.
• Proficiency in programming languages commonly used in data science, such as Python or R.
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong skills in database management (SQL, NoSQL) and data warehousing.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical, statistical, and problem-solving abilities.
• Strong communication and collaboration skills, essential for remote work.
• Familiarity with GIS and remote sensing data is a strong advantage.

Benefits

• Highly competitive salary package commensurate with extensive experience and remote status.
• Annual performance bonus and potential stock options.
• Comprehensive medical, dental, and vision insurance.
• Generous 401(k) or equivalent retirement plan with company match.
• Flexible working hours and generous paid time off.
• Professional development budget for conferences, courses, and certifications.
• Opportunity to shape the future of agricultural technology through data.