Remote Precision Agriculture & Analytics Consultant

Dataroles; Xico; Remote; MXN 300,000 - 600,000; Full time

Job summary

Dataroles is seeking a Precision Agriculture and Data Analytics Specialist to join our innovative team. This fully remote role lets you contribute from anywhere in Mexico while driving agriculture toward data-driven decisions using IoT sensors, drones, satellite imagery, and advanced analytics.

You will analyze large datasets, build predictive models, develop dashboards, and collaborate with agronomists and software engineers to deploy scalable data platforms that improve crop yields and

Qualifications

• Bachelor's or Master's degree in a quantitative field related to data or agriculture.
• Proven experience in data analysis, statistical modeling, and ML techniques.
• Proficiency with GIS software.

Responsibilities

• Analyze large datasets from soils, weather, drones, and imagery to identify trends.
• Develop precision agriculture strategies including variable rate applications.
• Use GIS and remote sensing to map fields and monitor crop health.
• Create predictive models for yield, disease, and timing.
• Design data collection protocols and ensure data quality.
• Develop dashboards and reports to visualize findings for clients.
• Provide technical support and training on precision agriculture tech.
• Stay updated on advances in agtech and data science.
• Collaborate with software teams to refine data platforms.
• Advise on integrating precision ag into farming systems, including in regions like State of Mexico.

Skills

Data analysis

Statistical modeling

Machine learning

Data visualization

IoT data interpretation

Remote sensing data

Education

Bachelor's or Master's in Data Science / CS / Agronomy / Agricultural Engineering / Geomatics

Tools

GIS software

Remote sensing tools

Python / R

Job description

Dataroles is seeking a Precision Agriculture and Data Analytics Specialist to join our innovative team. This fully remote role lets you contribute from anywhere in Mexico while driving agriculture toward data-driven decisions using IoT sensors, drones, satellite imagery, and advanced analytics.

You will analyze large datasets, build predictive models, develop dashboards, and collaborate with agronomists and software engineers to deploy scalable data platforms that improve crop yields and