Senior Data Scientist - Agricultural Analytics (Remote)

Placements24; Vereeniging; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Global health insurance

Stock options

Professional development budget

Fully remote with flexible schedule

Job summary

Placements24 is seeking a Senior Data Scientist for a fully remote role supporting agricultural initiatives. You will build and deploy predictive models, clean and integrate data from sensors, imagery, and records, and drive data-driven decisions across teams.

You will collaborate with agronomists, researchers, and product teams, mentor juniors, and contribute to scalable analytics solutions while advancing industry practices and sustaining data governance.

Qualifications

• Master's or PhD in a quantitative field.
• 5+ years as a Data Scientist with predictive models.
• Strong Python or R programming skills and libraries.
• Extensive SQL experience with large-scale databases.
• Solid ML algorithms knowledge and experimental design.
• Experience with data visualization tools.

Responsibilities

• Design, develop, and deploy ML models for agriculture.
• Extract, clean, and transform large diverse datasets.
• Develop robust data pipelines and analytics workflows.
• Collaborate with cross-functional teams to define data needs.
• Create visualizations and dashboards for stakeholders.
• Stay current with DS research and techniques.
• Mentor junior data scientists and share best practices.
• Contribute to data analytics strategy and governance.
• Ensure data quality, integrity, and ethical use.
• Participate in code reviews and reproducible research

Skills

Statistical modeling

Machine learning

Data visualization

Independent work

Remote collaboration

Communication

Education

Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or related field

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

SQL

Tableau

Power BI

Job description

Placements24 is seeking a Senior Data Scientist for a fully remote role supporting agricultural initiatives. You will build and deploy predictive models, clean and integrate data from sensors, imagery, and records, and drive data-driven decisions across teams.

You will collaborate with agronomists, researchers, and product teams, mentor juniors, and contribute to scalable analytics solutions while advancing industry practices and sustaining data governance.