Científico de Datos Agrícolas - Remoto (México)

Placements24; San Luis Potosí; Hybrid; MXN 500,000 - 900,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Retirement savings plan

Paid time off

Professional development

Job summary

Placements24 is seeking a talented Especialista Remoto en Datos Agrícolas y Analítica to join a pioneering AgTech team in Mexico. You will transform raw agricultural data from sensors, satellites, and weather data into actionable insights to optimize farming operations and sustainability.

The role involves building predictive models, visualizing findings, and collaborating with agronomists and engineers in a fully remote setting within Mexico.

Qualifications

• Master’s degree or PhD in a relevant data field is required.
• Proven experience in data analysis, statistical modeling and machine learning.
• Proficiency in Python or R and libraries (Pandas, Scikit-learn, TensorFlow).
• Experience with SQL/NoSQL and data visualization tools (Tableau, Power BI).
• Familiarity with geospatial data analysis and remote sensing.

Responsibilities

• Collect, clean, and preprocess large agricultural datasets.
• Develop, test, and deploy ML models for predictive analysis (yield forecasting).
• Analyze satellite imagery and sensor data to monitor crop health and environment.
• Create visualizations and reports for technical and non-technical stakeholders.
• Collaborate with software teams to integrate models into platforms; document processes.

Skills

Python

R

Pandas

Scikit-learn

TensorFlow

SQL

NoSQL

Tableau

Power BI

Geospatial analysis

Remote sensing

Education

Master's degree or PhD in Data Science/Statistics/CS/Agronomy

Tools

Tableau

Power BI

TensorFlow

SQL

NoSQL

Geospatial libraries

Remote sensing tools

Job description

Placements24 is seeking a talented Especialista Remoto en Datos Agrícolas y Analítica to join a pioneering AgTech team in Mexico. You will transform raw agricultural data from sensors, satellites, and weather data into actionable insights to optimize farming operations and sustainability.

The role involves building predictive models, visualizing findings, and collaborating with agronomists and engineers in a fully remote setting within Mexico.