Senior Data Scientist: AI for Sugarcane R&D & Operations

Florida Crystals Corporation; Florida; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Job summary

Florida Crystals Corporation seeks a Senior Data Scientist to lead AI/ML initiatives within the R&D group. You will design, validate, and deploy analytics that improve sugarcane research, crop management, and industrial operations, leveraging field, sensor, and remote sensing data.

You will collaborate with scientists, engineers, and operations teams to translate complex agricultural problems into scalable models, dashboards, and decision-support tools, driving productivity and research insights.

Qualifications

• Master’s degree required; Ph.D. preferred in agricultural fields.
• Experience developing AI/ML solutions in agriculture or applied industrial settings.
• Experience with image analytics, remote sensing, and time-series data desirable.

Responsibilities

• Identify AI, analytics, and digital opportunities across R&D.
• Design, test, and refine ML models using field trials and operations data.
• Build data pipelines and reproducible analytical workflows.
• Develop AI-enabled tools for yield prediction and crop health.
• Apply geospatial analytics to evaluate spatial variation.

Skills

AI/ML Expertise

Python

Data Engineering

Geospatial Analytics

Experimental Design

Agricultural Research

Communication

Collaboration

Problem Solving

Field Readiness

Education

Master’s degree in Agricultural Engineering / related field

Tools

Power BI

SQL

GIS platforms

Cloud analytics

ML frameworks

Job description

Florida Crystals Corporation seeks a Senior Data Scientist to lead AI/ML initiatives within the R&D group. You will design, validate, and deploy analytics that improve sugarcane research, crop management, and industrial operations, leveraging field, sensor, and remote sensing data.

You will collaborate with scientists, engineers, and operations teams to translate complex agricultural problems into scalable models, dashboards, and decision-support tools, driving productivity and research insights.